diff --git a/README.md b/README.md index afe5d4a..54501b2 100644 --- a/README.md +++ b/README.md @@ -15,7 +15,7 @@

-This curated list contains 100 awesome open-source projects with a total of 45K stars grouped into 8 categories. All projects are ranked by a project-quality score, which is calculated based on various metrics automatically collected from GitHub and different package managers. If you like to add or update projects, feel free to open an [issue](https://github.com/e-tony/best-of-ml-julia/issues/new/choose), submit a [pull request](https://github.com/e-tony/best-of-ml-julia/pulls), or directly edit the [projects.yaml](https://github.com/e-tony/best-of-ml-julia/edit/main/projects.yaml). Contributions are very welcome! +This curated list contains 100 awesome open-source projects with a total of 46K stars grouped into 8 categories. All projects are ranked by a project-quality score, which is calculated based on various metrics automatically collected from GitHub and different package managers. If you like to add or update projects, feel free to open an [issue](https://github.com/e-tony/best-of-ml-julia/issues/new/choose), submit a [pull request](https://github.com/e-tony/best-of-ml-julia/pulls), or directly edit the [projects.yaml](https://github.com/e-tony/best-of-ml-julia/edit/main/projects.yaml). Contributions are very welcome! > 🧙‍♂️ Discover other [best-of lists](https://best-of.org) or [create your own](https://github.com/best-of-lists/best-of/blob/main/create-best-of-list.md). @@ -57,31 +57,31 @@ _General-purpose machine learning and deep learning frameworks._
incubator-mxnet (🥇31 · ⭐ 19K) - Lightweight, Portable, Flexible Distributed/Mobile Deep.. Apache-2 -- [GitHub](https://github.com/apache/incubator-mxnet) (👨‍💻 960 · 🔀 6.5K · 📥 24K · 📦 2K · 📋 9.3K - 18% open · ⏱️ 15.04.2021): +- [GitHub](https://github.com/apache/incubator-mxnet) (👨‍💻 960 · 🔀 6.5K · 📥 24K · 📦 2K · 📋 9.3K - 18% open · ⏱️ 26.04.2021): ``` git clone https://github.com/apache/incubator-mxnet ```
-
Gen.jl (🥇19 · ⭐ 1.5K) - A general-purpose probabilistic programming system with programmable.. Apache-2 +
Turing.jl (🥇20 · ⭐ 1.2K · 📈) - Bayesian inference with probabilistic programming. MIT -- [GitHub](https://github.com/probcomp/Gen.jl) (👨‍💻 28 · 🔀 140 · 📋 240 - 53% open · ⏱️ 11.04.2021): +- [GitHub](https://github.com/TuringLang/Turing.jl) (👨‍💻 72 · 🔀 150 · 📋 800 - 19% open · ⏱️ 20.04.2021): ``` - git clone https://github.com/probcomp/Gen.jl + git clone https://github.com/TuringLang/Turing.jl ```
-
Turing.jl (🥇19 · ⭐ 1.2K) - Bayesian inference with probabilistic programming. MIT +
Gen.jl (🥇19 · ⭐ 1.5K) - A general-purpose probabilistic programming system with programmable.. Apache-2 -- [GitHub](https://github.com/TuringLang/Turing.jl) (👨‍💻 72 · 🔀 150 · 📋 800 - 19% open · ⏱️ 12.04.2021): +- [GitHub](https://github.com/probcomp/Gen.jl) (👨‍💻 28 · 🔀 140 · 📋 240 - 53% open · ⏱️ 11.04.2021): ``` - git clone https://github.com/TuringLang/Turing.jl + git clone https://github.com/probcomp/Gen.jl ```
DiffEqFlux.jl (🥇18 · ⭐ 500) - Universal neural differential equations with O(1) backprop, GPUs,.. MIT -- [GitHub](https://github.com/SciML/DiffEqFlux.jl) (👨‍💻 51 · 🔀 95 · 📋 230 - 23% open · ⏱️ 14.04.2021): +- [GitHub](https://github.com/SciML/DiffEqFlux.jl) (👨‍💻 51 · 🔀 96 · 📋 230 - 23% open · ⏱️ 20.04.2021): ``` git clone https://github.com/SciML/DiffEqFlux.jl @@ -89,7 +89,7 @@ _General-purpose machine learning and deep learning frameworks._
DFTK.jl/ (🥈16 · ⭐ 150) - Density-functional toolkit. MIT -- [GitHub](https://github.com/JuliaMolSim/DFTK.jl) (🔀 25 · 📋 120 - 38% open · ⏱️ 08.04.2021): +- [GitHub](https://github.com/JuliaMolSim/DFTK.jl) (🔀 25 · 📋 120 - 38% open · ⏱️ 21.04.2021): ``` git clone https://github.com/JuliaMolSim/DFTK.jl/ @@ -105,15 +105,15 @@ _General-purpose machine learning and deep learning frameworks._
AutoMLPipeline.jl (🥈15 · ⭐ 240) - A package that makes it trivial to create and evaluate.. MIT -- [GitHub](https://github.com/IBM/AutoMLPipeline.jl) (👨‍💻 4 · 🔀 18 · 📋 64 - 28% open · ⏱️ 31.03.2021): +- [GitHub](https://github.com/IBM/AutoMLPipeline.jl) (👨‍💻 4 · 🔀 18 · 📋 64 - 28% open · ⏱️ 21.04.2021): ``` git clone https://github.com/IBM/AutoMLPipeline.jl ```
-
GeometricFlux.jl (🥈15 · ⭐ 180) - Geometric Deep Learning for Flux. MIT +
GeometricFlux.jl (🥈15 · ⭐ 190) - Geometric Deep Learning for Flux. MIT -- [GitHub](https://github.com/FluxML/GeometricFlux.jl) (👨‍💻 10 · 🔀 16 · 📋 46 - 45% open · ⏱️ 10.04.2021): +- [GitHub](https://github.com/FluxML/GeometricFlux.jl) (👨‍💻 10 · 🔀 16 · 📋 48 - 47% open · ⏱️ 10.04.2021): ``` git clone https://github.com/yuehhua/GeometricFlux.jl @@ -121,7 +121,7 @@ _General-purpose machine learning and deep learning frameworks._
ADCME.jl (🥈15 · ⭐ 110) - Automatic Differentiation Library for Computational and Mathematical.. MIT -- [GitHub](https://github.com/kailaix/ADCME.jl) (👨‍💻 4 · 🔀 31 · 📥 94 · 📋 35 - 34% open · ⏱️ 12.04.2021): +- [GitHub](https://github.com/kailaix/ADCME.jl) (👨‍💻 4 · 🔀 32 · 📥 95 · 📋 36 - 36% open · ⏱️ 12.04.2021): ``` git clone https://github.com/kailaix/ADCME.jl @@ -129,15 +129,15 @@ _General-purpose machine learning and deep learning frameworks._
KernelFunctions.jl (🥈14 · ⭐ 100) - Julia package for kernel functions for machine learning. MIT -- [GitHub](https://github.com/JuliaGaussianProcesses/KernelFunctions.jl) (👨‍💻 14 · 🔀 13 · 📋 98 - 38% open · ⏱️ 15.04.2021): +- [GitHub](https://github.com/JuliaGaussianProcesses/KernelFunctions.jl) (👨‍💻 14 · 🔀 13 · 📋 99 - 39% open · ⏱️ 15.04.2021): ``` git clone https://github.com/JuliaGaussianProcesses/KernelFunctions.jl ```
-
FastAI.jl (🥉10 · ⭐ 140) - Repository of best practices for deep learning in Julia, inspired by.. MIT +
FastAI.jl (🥉10 · ⭐ 150) - Repository of best practices for deep learning in Julia, inspired by.. MIT -- [GitHub](https://github.com/FluxML/FastAI.jl) (👨‍💻 11 · 🔀 19 · 📋 18 - 66% open · ⏱️ 18.04.2021): +- [GitHub](https://github.com/FluxML/FastAI.jl) (👨‍💻 11 · 🔀 19 · 📋 18 - 61% open · ⏱️ 20.04.2021): ``` git clone https://github.com/FluxML/FastAI.jl @@ -145,58 +145,58 @@ _General-purpose machine learning and deep learning frameworks._
Show 52 hidden projects... -- Flux.jl (🥇19 · ⭐ 2.9K) - Relax! Flux is the ML library that doesn't make you tensor. ❗Unlicensed +- Flux.jl (🥇19 · ⭐ 3K) - Relax! Flux is the ML library that doesn't make you tensor. ❗Unlicensed - Knet.jl (🥇19 · ⭐ 1.3K) - Ko University deep learning framework. ❗Unlicensed - MLJBase.jl (🥇17 · ⭐ 59) - Core functionality for the MLJ machine learning framework. MIT - DifferentialEquations.jl (🥈16 · ⭐ 1.7K) - Multi-language suite for high-performance solvers of.. ❗Unlicensed - MLJ.jl (🥈16 · ⭐ 1.1K) - A Julia machine learning framework. ❗Unlicensed - Zygote.jl (🥈16 · ⭐ 960) - Intimate Affection Auditor. ❗Unlicensed -- ModelingToolkit.jl (🥈16 · ⭐ 580) - A modeling framework for automatically parallelized.. ❗Unlicensed +- ModelingToolkit.jl (🥈16 · ⭐ 600) - A modeling framework for automatically parallelized.. ❗Unlicensed - OrdinaryDiffEq.jl (🥈16 · ⭐ 200) - High performance differential equation solvers for.. ❗Unlicensed - TensorFlow.jl (🥈15 · ⭐ 820) - A Julia wrapper for TensorFlow. ❗Unlicensed - NeuralPDE.jl (🥈15 · ⭐ 310) - Physics-Informed Neural Networks (PINN) and Deep BSDE.. ❗Unlicensed - Distances.jl (🥈15 · ⭐ 260) - A Julia package for evaluating distances (metrics) between.. ❗Unlicensed - XGBoost.jl (🥈15 · ⭐ 180) - XGBoost Julia Package. ❗Unlicensed -- DiffEqBase.jl (🥈15 · ⭐ 100) - The lightweight Base library for shared types and.. ❗Unlicensed +- DiffEqBase.jl (🥈15 · ⭐ 110) - The lightweight Base library for shared types and.. ❗Unlicensed +- ScikitLearn.jl (🥈14 · ⭐ 430 · 📈) - Julia implementation of the scikit-learn API.. ❗Unlicensed - Clustering.jl (🥈14 · ⭐ 230) - A Julia package for data clustering. ❗Unlicensed - MLBase.jl (🥈14 · ⭐ 180 · 💀) - A set of functions to support the development of machine learning.. MIT -- NNlib.jl (🥈14 · ⭐ 97) - Neural Network primitives with multiple backends. ❗Unlicensed +- NNlib.jl (🥈14 · ⭐ 96) - Neural Network primitives with multiple backends. ❗Unlicensed - ForneyLab.jl (🥈14 · ⭐ 89) - Julia package for automatically generating Bayesian.. ❗Unlicensed - Yota.jl (🥈14 · ⭐ 81) - Reverse-mode automatic differentiation in Julia. MIT - ReservoirComputing.jl (🥈14 · ⭐ 63) - Reservoir computing utilities for scientific machine.. MIT -- TSML.jl (🥈14 · ⭐ 56) - A package for time series data processing, classification, clustering, and.. MIT +- TSML.jl (🥈14 · ⭐ 58) - A package for time series data processing, classification, clustering, and.. MIT - FluxTraining.jl (🥈14 · ⭐ 34) - A flexible neural net training library inspired by fast.ai. MIT - Mocha.jl (🥉13 · ⭐ 1.3K · 💀) - Deep Learning framework for Julia. ❗Unlicensed -- ScikitLearn.jl (🥉13 · ⭐ 430) - Julia implementation of the scikit-learn API.. ❗Unlicensed - Stheno.jl (🥉13 · ⭐ 250) - Probabilistic Programming with Gaussian processes in Julia. ❗Unlicensed - DecisionTree.jl (🥉13 · ⭐ 230 · 💤) - Julia implementation of Decision Tree (CART) and.. ❗Unlicensed - ReinforcementLearning.jl (🥉13 · ⭐ 200) - A reinforcement learning package for Julia. ❗Unlicensed - ArrayFire.jl (🥉13 · ⭐ 180) - Julia wrapper for the ArrayFire library. ❗Unlicensed - AutoGrad.jl (🥉13 · ⭐ 150) - Julia port of the Python autograd package. ❗Unlicensed - Merlin.jl (🥉13 · ⭐ 150 · 💀) - Deep Learning for Julia. MIT -- Enzyme.jl (🥉13 · ⭐ 92) - Julia bindings for the Enzyme automatic differentiator. MIT +- Enzyme.jl (🥉13 · ⭐ 93) - Julia bindings for the Enzyme automatic differentiator. MIT - UMAP.jl (🥉13 · ⭐ 77) - Uniform Manifold Approximation and Projection (UMAP) implementation in Julia. MIT - Mads.jl (🥉13 · ⭐ 73) - MADS: Model Analysis & Decision Support. ❗Unlicensed - JLBoost.jl (🥉13 · ⭐ 61) - A 100%-Julia implementation of Gradient-Boosting Regression Tree.. MIT -- bat (🥉13 · ⭐ 55) - Bayesian analysis toolkit http://mpp.mpg.de/bat. ❗Unlicensed -- Loess.jl (🥉13 · ⭐ 49) - Local regression, so smooooth!. ❗Unlicensed +- bat (🥉13 · ⭐ 56) - Bayesian analysis toolkit http://mpp.mpg.de/bat. ❗Unlicensed +- Loess.jl (🥉13 · ⭐ 50) - Local regression, so smooooth!. ❗Unlicensed - DiffEqParamEstim.jl (🥉13 · ⭐ 33) - Easy scientific machine learning (SciML) parameter.. ❗Unlicensed -- Yao.jl (🥉12 · ⭐ 520) - Extensible, Efficient Quantum Algorithm Design for Humans. ❗Unlicensed +- Yao.jl (🥉12 · ⭐ 530) - Extensible, Efficient Quantum Algorithm Design for Humans. ❗Unlicensed - Mamba.jl (🥉12 · ⭐ 240 · 💤) - Markov chain Monte Carlo (MCMC) for Bayesian analysis in.. ❗Unlicensed - Reinforce.jl (🥉12 · ⭐ 180) - Abstractions, algorithms, and utilities for reinforcement.. ❗Unlicensed -- DiffEqBayes.jl (🥉12 · ⭐ 95) - Extension functionality which uses Stan.jl,.. ❗Unlicensed +- DiffEqBayes.jl (🥉12 · ⭐ 94) - Extension functionality which uses Stan.jl,.. ❗Unlicensed - LossFunctions.jl (🥉12 · ⭐ 90 · 💤) - Julia package of loss functions for machine learning. ❗Unlicensed - NMF.jl (🥉12 · ⭐ 70) - A Julia package for non-negative matrix factorization. ❗Unlicensed -- CausalInference.jl (🥉12 · ⭐ 61) - Causal inference, graphical models and structure.. ❗Unlicensed +- CausalInference.jl (🥉12 · ⭐ 62) - Causal inference, graphical models and structure.. ❗Unlicensed - AtomicGraphNets.jl (🥉12 · ⭐ 22) - Atomic graph models for molecules and crystals in Julia. MIT - Torch.jl (🥉11 · ⭐ 130) - Sensible extensions for exposing torch in Julia. ❗Unlicensed - ONNX.jl (🥉11 · ⭐ 79) - Read ONNX graphs in Julia. ❗Unlicensed - ManifoldLearning.jl (🥉11 · ⭐ 58) - A Julia package for manifold learning and nonlinear.. ❗Unlicensed -- lathe (🥉11 · ⭐ 42) - A tool for generating bacterial genomes from metagenomes with nanopore long.. MIT +- lathe (🥉11 · ⭐ 43) - A tool for generating bacterial genomes from metagenomes with nanopore long.. MIT - ROCAnalysis.jl (🥉11 · ⭐ 23) - Receiver Operating Characteristics and functions for.. ❗Unlicensed - DiscriminantAnalysis.jl (🥉9 · ⭐ 7) - Regularized discriminant analysis in Julia. MIT - TimeSeriesClassification.jl (🥉8 · ⭐ 19) - Machine Learning with Time Series in Julia. MIT -- OpenAIGym.jl (🥉7 · ⭐ 80 · 💤) - OpenAI's Gym binding for Julia. ❗Unlicensed +- OpenAIGym.jl (🥉7 · ⭐ 81 · 💤) - OpenAI's Gym binding for Julia. ❗Unlicensed

@@ -222,7 +222,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we - Embeddings.jl (🥈11 · ⭐ 50 · 💀) - Functions and data dependencies for loading various word.. MIT - BytePairEncoding.jl (🥈11 · ⭐ 3) - Julia implementation of Byte Pair Encoding for NLP. MIT - Word2Vec.jl (🥉10 · ⭐ 50) - Julia interface to word2vec. ❗Unlicensed -- Languages.jl (🥉10 · ⭐ 35) - A package for working with human languages. ❗Unlicensed +- Languages.jl (🥉10 · ⭐ 34) - A package for working with human languages. ❗Unlicensed - TextModels.jl (🥉10 · ⭐ 7) - Neural Network based models for Natural Language Processing. ❗Unlicensed - WordNet.jl (🥉9 · ⭐ 22 · 💀) - A Julia package for Princeton's WordNet. ❗Unlicensed - TopicModels.jl (🥉8 · ⭐ 31 · 💤) - TopicModels for Julia. MIT @@ -239,7 +239,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well
Show 3 hidden projects... - Images.jl (🥇16 · ⭐ 440) - An image library for Julia. ❗Unlicensed -- Metalhead.jl (🥉14 · ⭐ 190) - Computer vision models for Flux. ❗Unlicensed +- Metalhead.jl (🥉14 · ⭐ 200) - Computer vision models for Flux. ❗Unlicensed - Augmentor.jl (🥉12 · ⭐ 97) - A fast image augmentation library in Julia for machine.. ❗Unlicensed

@@ -260,12 +260,12 @@ _Libraries for loading, collecting, and extracting data from a variety of data s
Show 6 hidden projects... -- DataFrames.jl (🥇18 · ⭐ 980) - In-memory tabular data in Julia. ❗Unlicensed +- DataFrames.jl (🥇18 · ⭐ 990) - In-memory tabular data in Julia. ❗Unlicensed - DataDeps.jl (🥈13 · ⭐ 90) - reproducible data setup for reproducible science. ❗Unlicensed +- DataAugmentation.jl (🥈13 · ⭐ 4 · 📈) - Flexible data augmentation library for machine and deep.. MIT - JuliaML/MLDataUtils.jl (🥉12 · ⭐ 76) - Utility package for generating, loading, splitting,.. ❗Unlicensed -- DataAugmentation.jl (🥉12 · ⭐ 4) - Flexible data augmentation library for machine and deep.. MIT -- CorpusLoaders.jl (🥉11 · ⭐ 21) - A variety of loaders for various NLP corpora. ❗Unlicensed - MLDataPattern.jl (🥉10 · ⭐ 40) - Utility package for subsetting, resampling, iteration,.. ❗Unlicensed +- CorpusLoaders.jl (🥉10 · ⭐ 20 · 📉) - A variety of loaders for various NLP corpora. ❗Unlicensed

@@ -277,7 +277,7 @@ _Libraries to organize, track, and visualize machine learning experiments._
Show 1 hidden projects... -- TensorBoardLogger.jl (🥇14 · ⭐ 64) - Easy peasy logging to TensorBoard with Julia. MIT +- TensorBoardLogger.jl (🥇14 · ⭐ 66) - Easy peasy logging to TensorBoard with Julia. MIT

@@ -307,11 +307,11 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes - GaussianProcesses.jl (🥇15 · ⭐ 220) - A Julia package for Gaussian Processes. ❗Unlicensed - HypothesisTests.jl (🥇15 · ⭐ 170) - Hypothesis tests for Julia. ❗Unlicensed - MeasureTheory.jl (🥉14 · ⭐ 160) - MIT +- ReadStat.jl (🥉14 · ⭐ 65 · 📈) - Read files from Stata, SAS, and SPSS. MIT - Omega.jl (🥉13 · ⭐ 86) - Causal, Higher-Order, Probabilistic Programming. MIT -- ReadStat.jl (🥉13 · ⭐ 65 · 💤) - Read files from Stata, SAS, and SPSS. MIT - GaussianMixtures.jl (🥉13 · ⭐ 58) - Large scale Gaussian Mixture Models. ❗Unlicensed -- KernelDensity.jl (🥉11 · ⭐ 95) - Kernel density estimators for Julia. ❗Unlicensed -- GLMNet.jl (🥉11 · ⭐ 75) - Julia wrapper for fitting Lasso/ElasticNet GLM models using.. ❗Unlicensed +- KernelDensity.jl (🥉12 · ⭐ 96 · 📈) - Kernel density estimators for Julia. ❗Unlicensed +- GLMNet.jl (🥉12 · ⭐ 76) - Julia wrapper for fitting Lasso/ElasticNet GLM models using.. ❗Unlicensed - cscherrer/SossMLJ.jl (🥉11 · ⭐ 11) - SossMLJ makes it easy to build MLJ machines from user-.. MIT

@@ -324,7 +324,7 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
Show 1 hidden projects... -- Fairness.jl (🥇12 · ⭐ 16) - Julia Toolkit with fairness metrics and bias mitigation algorithms. MIT +- Fairness.jl (🥇12 · ⭐ 17) - Julia Toolkit with fairness metrics and bias mitigation algorithms. MIT

@@ -334,7 +334,7 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
Show 2 hidden projects... -- ReinforcementLearningZoo.jl (🥇13 · ⭐ 43) - MIT +- ReinforcementLearningZoo.jl (🥇13 · ⭐ 44) - MIT - DistributedReinforcementLearning.jl (🥉7 · ⭐ 2 · 🐣) - If it works, it works everywhere!. MIT
diff --git a/history/2021-04-26_changes.md b/history/2021-04-26_changes.md new file mode 100644 index 0000000..cc72f6b --- /dev/null +++ b/history/2021-04-26_changes.md @@ -0,0 +1,16 @@ +## 📈 Trending Up + +_Projects that have a higher project-quality score compared to the last update. There might be a variety of reasons, such as increased downloads or code activity._ + +- Turing.jl (🥇20 · ⭐ 1.2K · 📈) - Bayesian inference with probabilistic programming. MIT +- ScikitLearn.jl (🥈14 · ⭐ 430 · 📈) - Julia implementation of the scikit-learn API.. ❗Unlicensed +- ReadStat.jl (🥉14 · ⭐ 65 · 📈) - Read files from Stata, SAS, and SPSS. MIT +- DataAugmentation.jl (🥈13 · ⭐ 4 · 📈) - Flexible data augmentation library for machine and deep.. MIT +- KernelDensity.jl (🥉12 · ⭐ 96 · 📈) - Kernel density estimators for Julia. ❗Unlicensed + +## 📉 Trending Down + +_Projects that have a lower project-quality score compared to the last update. There might be a variety of reasons such as decreased downloads or code activity._ + +- CorpusLoaders.jl (🥉10 · ⭐ 20 · 📉) - A variety of loaders for various NLP corpora. ❗Unlicensed + diff --git a/history/2021-04-26_projects.csv b/history/2021-04-26_projects.csv new file mode 100644 index 0000000..a08dbe1 --- /dev/null +++ b/history/2021-04-26_projects.csv @@ -0,0 +1,103 @@ +,name,github_id,category,github_url,homepage,license,created_at,updated_at,last_commit_pushed_at,fork_count,open_issue_count,closed_issue_count,star_count,commit_count,latest_stable_release_published_at,latest_stable_release_number,github_release_downloads,monthly_downloads,release_count,description,dependent_project_count,github_dependent_project_count,contributor_count,projectrank,show,projectrank_placing,trending,updated_github_id +0,incubator-mxnet,apache/incubator-mxnet,ml-frameworks,https://github.com/apache/incubator-mxnet,https://github.com/apache/incubator-mxnet,Apache-2.0,2015-04-30 16:21:15,2021-04-26 11:57:44,2021-04-26 11:57:43,6473.0,1689.0,7603.0,19421,11577.0,2021-03-03 01:00:20,1.8.0,23738.0,402.0,27.0,"Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler;..",1976.0,1976.0,957.0,31,True,1,, +1,Turing.jl,TuringLang/Turing.jl,ml-frameworks,https://github.com/TuringLang/Turing.jl,https://github.com/TuringLang/Turing.jl,MIT,2016-04-29 10:51:43,2021-04-20 22:37:22,2021-04-20 22:07:58,151.0,157.0,648.0,1194,3134.0,2021-04-20 22:29:44,0.15.18,,,80.0,Bayesian inference with probabilistic programming.,,,72.0,20,True,1,1.0, +2,Flux.jl,FluxML/Flux.jl,ml-frameworks,https://github.com/FluxML/Flux.jl,https://github.com/FluxML/Flux.jl,,2016-04-01 21:11:05,2021-04-25 19:36:10,2021-04-25 18:36:58,437.0,184.0,630.0,2951,3551.0,2021-04-23 14:42:09,0.12.2,,,52.0,Relax! Flux is the ML library that doesn't make you tensor.,,,161.0,19,False,1,, +3,Gen.jl,probcomp/Gen.jl,ml-frameworks,https://github.com/probcomp/Gen.jl,https://github.com/probcomp/Gen.jl,Apache-2.0,2018-08-21 21:42:42,2021-04-23 22:45:31,2021-04-11 00:09:55,138.0,127.0,110.0,1535,1165.0,2021-04-02 18:04:19,0.4.3,,,14.0,A general-purpose probabilistic programming system with programmable inference.,,,28.0,19,True,1,, +4,Knet.jl,denizyuret/Knet.jl,ml-frameworks,https://github.com/denizyuret/Knet.jl,https://github.com/denizyuret/Knet.jl,,2015-09-29 23:42:37,2021-04-26 08:58:50,2021-03-30 14:03:14,227.0,129.0,348.0,1268,2892.0,2021-03-17 08:04:07,1.4.6,1965.0,41.0,36.0,Ko University deep learning framework.,,,51.0,19,False,1,, +5,DataFrames.jl,JuliaData/DataFrames.jl,data-loading,https://github.com/JuliaData/DataFrames.jl,https://github.com/JuliaData/DataFrames.jl,,2012-07-11 18:00:09,2021-04-25 15:08:13,2021-04-25 15:04:11,292.0,106.0,1314.0,989,2433.0,2021-04-23 23:31:59,1.0.1,,,59.0,In-memory tabular data in Julia.,,,186.0,18,False,1,, +6,Distributions.jl,JuliaStats/Distributions.jl,probabilistics,https://github.com/JuliaStats/Distributions.jl,https://github.com/JuliaStats/Distributions.jl,,2012-11-09 20:01:33,2021-04-26 10:18:00,2021-04-22 22:18:39,310.0,207.0,448.0,673,1610.0,2021-04-21 22:59:14,0.24.18,,,74.0,A Julia package for probability distributions and associated functions.,,,179.0,18,False,1,, +7,DiffEqFlux.jl,SciML/DiffEqFlux.jl,ml-frameworks,https://github.com/SciML/DiffEqFlux.jl,https://github.com/SciML/DiffEqFlux.jl,MIT,2018-12-26 15:09:29,2021-04-24 16:35:23,2021-04-20 15:06:32,96.0,55.0,178.0,500,1108.0,2021-04-13 19:45:08,1.36.1,,,70.0,"Universal neural differential equations with O(1) backprop, GPUs, and stiff+non-stiff DE solvers, demonstrating..",,,51.0,18,True,1,, +8,TextAnalysis.jl,JuliaText/TextAnalysis.jl,nlp,https://github.com/JuliaText/TextAnalysis.jl,https://github.com/JuliaText/TextAnalysis.jl,,2012-05-11 18:44:33,2021-04-22 16:05:39,2021-04-05 19:51:41,82.0,38.0,69.0,303,574.0,2021-04-05 20:07:11,0.7.3,14376.0,342.0,11.0,Julia package for text analysis.,,,40.0,17,False,1,, +9,MLJBase.jl,alan-turing-institute/MLJBase.jl,ml-frameworks,https://github.com/alan-turing-institute/MLJBase.jl,https://github.com/alan-turing-institute/MLJBase.jl,MIT,2018-12-11 14:42:03,2021-04-25 00:17:15,2021-04-23 02:27:09,24.0,35.0,161.0,59,1403.0,2021-04-23 03:22:13,0.18.2,,,91.0,Core functionality for the MLJ machine learning framework.,,,22.0,17,False,1,, +10,DifferentialEquations.jl,SciML/DifferentialEquations.jl,ml-frameworks,https://github.com/SciML/DifferentialEquations.jl,https://github.com/SciML/DifferentialEquations.jl,,2016-05-11 05:13:39,2021-04-21 06:51:15,2021-04-21 06:51:15,141.0,113.0,538.0,1740,1241.0,2020-12-26 01:20:39,6.16.0,,,49.0,Multi-language suite for high-performance solvers of differential equations and scientific machine learning (SciML)..,,,19.0,16,False,2,, +11,MLJ.jl,alan-turing-institute/MLJ.jl,ml-frameworks,https://github.com/alan-turing-institute/MLJ.jl,https://github.com/alan-turing-institute/MLJ.jl,,2018-08-01 06:29:39,2021-04-25 00:20:12,2021-04-23 22:30:33,111.0,80.0,378.0,1061,1915.0,2021-04-23 23:20:37,0.16.2,,,48.0,A Julia machine learning framework.,,,43.0,16,False,2,, +12,Zygote.jl,FluxML/Zygote.jl,ml-frameworks,https://github.com/FluxML/Zygote.jl,https://github.com/FluxML/Zygote.jl,,2018-08-06 22:08:26,2021-04-22 09:25:52,2021-04-22 08:39:12,134.0,288.0,253.0,963,1714.0,2021-04-22 09:25:53,0.6.10,,,58.0,Intimate Affection Auditor.,,,73.0,16,False,2,, +13,ModelingToolkit.jl,SciML/ModelingToolkit.jl,ml-frameworks,https://github.com/SciML/ModelingToolkit.jl,https://github.com/SciML/ModelingToolkit.jl,,2018-02-27 01:36:26,2021-04-25 18:19:40,2021-04-24 10:30:44,78.0,76.0,337.0,598,2243.0,2021-04-22 06:44:50,5.16.0,,,100.0,A modeling framework for automatically parallelized scientific machine learning (SciML) in Julia. A computer algebra..,,,54.0,16,False,2,, +14,Images.jl,JuliaImages/Images.jl,image,https://github.com/JuliaImages/Images.jl,https://github.com/JuliaImages/Images.jl,,2012-12-05 14:43:16,2021-04-25 09:19:49,2021-04-25 09:19:46,123.0,42.0,469.0,441,1473.0,2021-04-15 18:25:52,0.24.0,,,44.0,An image library for Julia.,,,85.0,16,False,1,, +15,OrdinaryDiffEq.jl,SciML/OrdinaryDiffEq.jl,ml-frameworks,https://github.com/SciML/OrdinaryDiffEq.jl,https://github.com/SciML/OrdinaryDiffEq.jl,,2016-10-22 16:27:51,2021-04-25 18:56:41,2021-04-22 19:31:19,100.0,214.0,303.0,205,4946.0,2021-04-17 11:50:36,5.52.4,,,100.0,"High performance differential equation solvers for ordinary differential equations, including neural ordinary..",,,71.0,16,False,2,, +16,Transformers.jl,chengchingwen/Transformers.jl,nlp,https://github.com/chengchingwen/Transformers.jl,https://github.com/chengchingwen/Transformers.jl,MIT,2018-12-27 06:24:53,2021-04-09 15:06:01,2021-04-08 21:55:51,27.0,4.0,16.0,187,479.0,2021-04-08 22:14:24,0.1.11,,,8.0,Julia Implementation of Transformer models.,,,8.0,16,True,1,, +17,DFTK.jl/,JuliaMolSim/DFTK.jl/,ml-frameworks,https://github.com/JuliaMolSim/DFTK.jl,https://github.com/JuliaMolSim/DFTK.jl,MIT,2019-04-16 17:15:53,2021-04-26 11:59:27,2021-04-21 11:44:39,25.0,47.0,74.0,153,799.0,2021-04-21 14:17:17,0.2.8,,,34.0,Density-functional toolkit.,,,,16,True,2,, +18,TensorFlow.jl,malmaud/TensorFlow.jl,ml-frameworks,https://github.com/malmaud/TensorFlow.jl,https://github.com/malmaud/TensorFlow.jl,,2015-11-17 18:50:55,2021-04-01 18:06:44,2020-12-11 20:13:12,101.0,70.0,173.0,825,1324.0,2019-03-27 18:18:07,0.12.0,,,27.0,A Julia wrapper for TensorFlow.,,,38.0,15,False,2,, +19,GLM.jl,JuliaStats/GLM.jl,probabilistics,https://github.com/JuliaStats/GLM.jl,https://github.com/JuliaStats/GLM.jl,,2012-05-30 03:30:46,2021-04-26 09:13:58,2021-04-05 18:48:12,88.0,59.0,155.0,369,428.0,2021-03-15 23:18:30,1.4.1,,,28.0,Generalized linear models in Julia.,,,39.0,15,False,1,, +20,NeuralPDE.jl,SciML/NeuralPDE.jl,ml-frameworks,https://github.com/SciML/NeuralPDE.jl,https://github.com/SciML/NeuralPDE.jl,,2017-03-14 20:53:14,2021-04-24 15:37:45,2021-04-20 11:55:51,71.0,44.0,67.0,312,987.0,2021-04-13 21:52:36,3.10.1,,,35.0,Physics-Informed Neural Networks (PINN) and Deep BSDE Solvers of Differential Equations for Scientific Machine..,,,25.0,15,False,2,, +21,Distances.jl,JuliaStats/Distances.jl,ml-frameworks,https://github.com/JuliaStats/Distances.jl,https://github.com/JuliaStats/Distances.jl,,2014-08-26 04:25:09,2021-04-06 19:49:21,2021-04-06 19:49:17,74.0,27.0,71.0,265,157.0,2021-01-29 15:58:31,0.10.2,,,19.0,A Julia package for evaluating distances (metrics) between vectors.,,,34.0,15,False,2,, +22,MixedModels.jl,JuliaStats/MixedModels.jl,ml-frameworks,https://github.com/JuliaStats/MixedModels.jl,https://github.com/JuliaStats/MixedModels.jl,MIT,2013-03-29 21:24:25,2021-04-18 12:37:46,2021-04-18 12:37:45,36.0,21.0,192.0,263,,2021-04-15 19:16:06,3.6.0,,,63.0,A Julia package for fitting (statistical) mixed-effects models.,,,23.0,15,True,2,, +23,AutoMLPipeline.jl,IBM/AutoMLPipeline.jl,ml-frameworks,https://github.com/IBM/AutoMLPipeline.jl,https://github.com/IBM/AutoMLPipeline.jl,MIT,2020-02-25 15:46:12,2021-04-21 23:23:09,2021-04-21 23:04:41,18.0,18.0,46.0,241,389.0,2021-04-21 23:23:10,0.3.4,,,27.0,A package that makes it trivial to create and evaluate machine learning pipeline architectures.,,,4.0,15,True,2,, +24,MultivariateStats.jl,JuliaStats/MultivariateStats.jl,probabilistics,https://github.com/JuliaStats/MultivariateStats.jl,https://github.com/JuliaStats/MultivariateStats.jl,,2014-03-12 21:59:49,2021-03-26 20:43:03,2021-03-13 04:59:15,56.0,27.0,51.0,225,154.0,2020-11-15 22:14:12,0.8.0,,,5.0,A Julia package for multivariate statistics and data analysis (e.g. dimension reduction).,,,26.0,15,False,1,, +25,GaussianProcesses.jl,STOR-i/GaussianProcesses.jl,probabilistics,https://github.com/STOR-i/GaussianProcesses.jl,https://github.com/STOR-i/GaussianProcesses.jl,,2015-04-30 14:46:12,2021-04-07 17:12:33,2021-04-07 17:12:33,40.0,18.0,92.0,218,1034.0,2020-11-30 00:50:47,0.12.3,,,6.0,A Julia package for Gaussian Processes.,,,25.0,15,False,1,, +26,GeometricFlux.jl,yuehhua/GeometricFlux.jl,ml-frameworks,https://github.com/FluxML/GeometricFlux.jl,https://github.com/FluxML/GeometricFlux.jl,MIT,2019-04-04 12:18:22,2021-04-10 03:11:39,2021-04-10 03:11:39,16.0,23.0,25.0,189,591.0,2021-04-03 07:11:11,0.7.6,,,19.0,Geometric Deep Learning for Flux.,,,10.0,15,True,2,,FluxML/GeometricFlux.jl +27,XGBoost.jl,dmlc/XGBoost.jl,ml-frameworks,https://github.com/dmlc/XGBoost.jl,https://github.com/dmlc/XGBoost.jl,,2014-08-14 19:10:42,2021-02-09 18:08:19,2020-12-22 16:30:49,92.0,8.0,44.0,183,182.0,2020-12-22 16:36:19,1.1.1,,,7.0,XGBoost Julia Package.,,,22.0,15,False,2,, +28,HypothesisTests.jl,JuliaStats/HypothesisTests.jl,probabilistics,https://github.com/JuliaStats/HypothesisTests.jl,https://github.com/JuliaStats/HypothesisTests.jl,,2012-12-09 05:43:21,2021-04-20 15:43:00,2021-04-20 15:42:57,62.0,38.0,61.0,168,262.0,2021-04-20 13:08:43,0.10.3,,,13.0,Hypothesis tests for Julia.,,,40.0,15,False,1,, +29,MLDatasets.jl,JuliaML/MLDatasets.jl,data-loading,https://github.com/JuliaML/MLDatasets.jl,https://github.com/JuliaML/MLDatasets.jl,MIT,2016-09-08 09:16:50,2021-03-30 08:36:14,2021-03-30 06:13:22,25.0,11.0,12.0,122,152.0,2021-03-30 06:30:37,0.5.6,4.0,0.0,14.0,Utility package for accessing common Machine Learning datasets in Julia.,,,13.0,15,True,2,, +30,DiffEqBase.jl,SciML/DiffEqBase.jl,ml-frameworks,https://github.com/SciML/DiffEqBase.jl,https://github.com/SciML/DiffEqBase.jl,,2016-10-20 22:28:36,2021-04-26 11:35:43,2021-04-21 10:07:38,68.0,47.0,122.0,112,2248.0,2021-04-21 10:18:51,6.60.0,,,100.0,The lightweight Base library for shared types and functionality for defining differential equation and scientific..,,,65.0,15,False,2,, +31,ADCME.jl,kailaix/ADCME.jl,ml-frameworks,https://github.com/kailaix/ADCME.jl,https://github.com/kailaix/ADCME.jl,MIT,2019-06-02 16:12:38,2021-04-12 08:13:16,2021-04-12 08:07:02,32.0,13.0,23.0,111,1071.0,2021-03-17 05:52:07,0.7.1,95.0,4.0,47.0,Automatic Differentiation Library for Computational and Mathematical Engineering.,,,4.0,15,True,2,, +32,ScikitLearn.jl,cstjean/ScikitLearn.jl,ml-frameworks,https://github.com/cstjean/ScikitLearn.jl,https://github.com/cstjean/ScikitLearn.jl,,2016-02-28 17:06:55,2021-04-23 22:30:19,2020-12-04 16:44:29,56.0,23.0,51.0,427,466.0,2020-12-04 19:10:52,0.6.3,,,9.0,Julia implementation of the scikit-learn API https://cstjean.github.io/ScikitLearn.jl/dev/.,,,11.0,14,False,2,1.0, +33,Clustering.jl,JuliaStats/Clustering.jl,ml-frameworks,https://github.com/JuliaStats/Clustering.jl,https://github.com/JuliaStats/Clustering.jl,,2012-11-24 15:47:36,2021-03-11 18:32:20,2021-03-11 18:32:20,92.0,31.0,56.0,231,328.0,2020-10-18 12:18:16,0.14.2,,,19.0,A Julia package for data clustering.,,,46.0,14,False,2,, +34,Metalhead.jl,FluxML/Metalhead.jl,image,https://github.com/FluxML/Metalhead.jl,https://github.com/FluxML/Metalhead.jl,,2018-02-15 21:37:03,2021-04-15 18:24:21,2021-01-25 20:08:18,39.0,18.0,17.0,196,123.0,2020-08-10 13:46:26,0.5.1,10147.0,267.0,9.0,Computer vision models for Flux.,,,18.0,14,False,3,, +35,MLBase.jl,JuliaStats/MLBase.jl,ml-frameworks,https://github.com/JuliaStats/MLBase.jl,https://github.com/JuliaStats/MLBase.jl,MIT,2013-02-10 15:50:23,2020-02-08 15:53:11,2018-10-08 21:18:12,57.0,7.0,13.0,177,168.0,2018-08-31 05:41:36,0.8.0,,,3.0,A set of functions to support the development of machine learning algorithms.,,,16.0,14,False,2,, +36,MeasureTheory.jl,cscherrer/MeasureTheory.jl,probabilistics,https://github.com/cscherrer/MeasureTheory.jl,https://github.com/cscherrer/MeasureTheory.jl,MIT,2020-01-11 19:44:00,2021-04-25 18:56:36,2021-04-25 18:50:38,8.0,22.0,6.0,161,183.0,2021-04-07 18:00:11,0.6.2,,,12.0,,,,5.0,14,False,3,, +37,KernelFunctions.jl,JuliaGaussianProcesses/KernelFunctions.jl,ml-frameworks,https://github.com/JuliaGaussianProcesses/KernelFunctions.jl,https://github.com/JuliaGaussianProcesses/KernelFunctions.jl,MIT,2019-05-24 13:53:47,2021-04-21 21:56:25,2021-04-15 21:20:22,13.0,39.0,60.0,105,599.0,2021-04-15 13:41:25,0.9.4,,,54.0,Julia package for kernel functions for machine learning.,,,14.0,14,True,2,, +38,NNlib.jl,FluxML/NNlib.jl,ml-frameworks,https://github.com/FluxML/NNlib.jl,https://github.com/FluxML/NNlib.jl,,2017-08-21 17:14:26,2021-04-25 16:18:27,2021-04-21 05:49:48,79.0,36.0,75.0,96,892.0,2021-04-23 12:29:16,0.7.19,,,43.0,Neural Network primitives with multiple backends.,,,66.0,14,False,2,, +39,ForneyLab.jl,biaslab/ForneyLab.jl,ml-frameworks,https://github.com/biaslab/ForneyLab.jl,https://github.com/biaslab/ForneyLab.jl,,2018-06-27 09:12:26,2021-04-08 11:01:22,2021-04-08 10:39:25,25.0,17.0,43.0,89,2093.0,2021-04-08 10:46:06,0.11.3,,,8.0,Julia package for automatically generating Bayesian inference algorithms through message passing on Forney-style..,,,19.0,14,False,2,, +40,Yota.jl,dfdx/Yota.jl,ml-frameworks,https://github.com/dfdx/Yota.jl,https://github.com/dfdx/Yota.jl,MIT,2018-07-14 22:04:47,2021-04-25 15:00:53,2021-03-22 20:16:24,8.0,10.0,28.0,81,259.0,2021-01-23 18:33:54,0.4.4,,,13.0,Reverse-mode automatic differentiation in Julia.,,,8.0,14,False,2,, +41,TensorBoardLogger.jl,PhilipVinc/TensorBoardLogger.jl,ml-experiments,https://github.com/PhilipVinc/TensorBoardLogger.jl,https://github.com/PhilipVinc/TensorBoardLogger.jl,MIT,2019-01-27 21:15:07,2021-04-25 15:13:49,2021-04-25 14:22:06,17.0,12.0,21.0,66,168.0,2021-04-25 12:39:40,0.1.16,,,17.0,Easy peasy logging to TensorBoard with Julia.,,,17.0,14,False,1,, +42,ReadStat.jl,queryverse/ReadStat.jl,probabilistics,https://github.com/queryverse/ReadStat.jl,https://github.com/queryverse/ReadStat.jl,MIT,2013-12-01 21:59:46,2021-04-22 20:06:07,2021-04-22 19:11:18,14.0,7.0,21.0,65,168.0,2021-04-22 20:04:29,1.1.0,,,10.0,"Read files from Stata, SAS, and SPSS.",,,10.0,14,False,3,1.0, +43,ReservoirComputing.jl,SciML/ReservoirComputing.jl,ml-frameworks,https://github.com/SciML/ReservoirComputing.jl,https://github.com/SciML/ReservoirComputing.jl,MIT,2020-01-16 14:21:10,2021-02-28 22:46:04,2021-02-28 15:46:06,12.0,5.0,3.0,63,276.0,2021-02-28 22:39:34,0.6.2,,,9.0,Reservoir computing utilities for scientific machine learning (SciML).,,,10.0,14,False,2,, +44,TSML.jl,IBM/TSML.jl,ml-frameworks,https://github.com/IBM/TSML.jl,https://github.com/IBM/TSML.jl,MIT,2019-01-31 03:57:56,2021-04-22 00:15:23,2021-03-31 10:01:46,15.0,4.0,85.0,58,645.0,2021-03-29 23:02:45,2.7.0,,,40.0,"A package for time series data processing, classification, clustering, and prediction.",,,6.0,14,False,2,, +45,MLJTuning.jl,alan-turing-institute/MLJTuning.jl,hyperopt,https://github.com/alan-turing-institute/MLJTuning.jl,https://github.com/alan-turing-institute/MLJTuning.jl,MIT,2020-01-14 18:48:56,2021-04-21 04:56:12,2021-04-21 04:23:34,3.0,6.0,25.0,35,494.0,2021-04-21 04:56:12,0.6.5,,,29.0,Hyperparameter optimization algorithms for use in the MLJ machine learning framework.,,,11.0,14,False,1,, +46,FluxTraining.jl,lorenzoh/FluxTraining.jl,ml-frameworks,https://github.com/lorenzoh/FluxTraining.jl,https://github.com/lorenzoh/FluxTraining.jl,MIT,2020-03-27 12:27:00,2021-04-22 00:16:53,2021-04-13 13:09:06,6.0,1.0,11.0,34,169.0,2021-02-21 14:04:48,0.1.3,,,4.0,A flexible neural net training library inspired by fast.ai.,,,6.0,14,False,2,, +47,Mocha.jl,pluskid/Mocha.jl,ml-frameworks,https://github.com/pluskid/Mocha.jl,https://github.com/pluskid/Mocha.jl,,2014-10-25 00:31:21,2018-12-06 01:09:35,2018-12-06 01:09:34,253.0,34.0,119.0,1264,1069.0,,,,,,Deep Learning framework for Julia.,,,47.0,13,False,3,, +48,Stheno.jl,willtebbutt/Stheno.jl,ml-frameworks,https://github.com/JuliaGaussianProcesses/Stheno.jl,https://github.com/JuliaGaussianProcesses/Stheno.jl,,2017-08-15 15:10:58,2021-04-12 21:06:59,2021-04-12 20:50:34,15.0,18.0,35.0,247,440.0,2021-04-12 21:06:59,0.7.3,,,36.0,Probabilistic Programming with Gaussian processes in Julia.,,,11.0,13,False,3,,JuliaGaussianProcesses/Stheno.jl +49,DecisionTree.jl,bensadeghi/DecisionTree.jl,ml-frameworks,https://github.com/bensadeghi/DecisionTree.jl,https://github.com/bensadeghi/DecisionTree.jl,,2013-01-14 01:29:53,2020-09-17 08:16:07,2020-09-17 07:02:13,73.0,26.0,40.0,227,448.0,2020-09-17 08:16:08,0.10.10,,,22.0,Julia implementation of Decision Tree (CART) and Random Forest algorithms.,,,22.0,13,False,3,, +50,ReinforcementLearning.jl,JuliaReinforcementLearning/ReinforcementLearning.jl,ml-frameworks,https://github.com/JuliaReinforcementLearning/ReinforcementLearning.jl,https://github.com/JuliaReinforcementLearning/ReinforcementLearning.jl,,2018-06-07 11:54:45,2021-04-26 00:53:08,2021-04-22 15:36:08,20.0,50.0,116.0,205,192.0,2021-01-26 00:58:41,0.8.0,,,11.0,A reinforcement learning package for Julia.,,,10.0,13,False,3,, +51,ArrayFire.jl,JuliaGPU/ArrayFire.jl,ml-frameworks,https://github.com/JuliaGPU/ArrayFire.jl,https://github.com/JuliaGPU/ArrayFire.jl,,2015-05-28 21:01:58,2020-11-18 16:52:26,2020-11-18 16:52:25,29.0,43.0,156.0,181,858.0,2020-09-25 07:25:28,1.0.7,,,11.0,Julia wrapper for the ArrayFire library.,,,29.0,13,False,3,, +52,AutoGrad.jl,denizyuret/AutoGrad.jl,ml-frameworks,https://github.com/denizyuret/AutoGrad.jl,https://github.com/denizyuret/AutoGrad.jl,,2016-08-08 20:24:26,2021-02-06 12:02:48,2021-02-06 12:02:43,22.0,18.0,49.0,148,480.0,2020-12-26 22:17:41,1.2.4,,,20.0,Julia port of the Python autograd package.,,,16.0,13,False,3,, +53,Merlin.jl,hshindo/Merlin.jl,ml-frameworks,https://github.com/hshindo/Merlin.jl,https://github.com/hshindo/Merlin.jl,MIT,2015-11-25 09:12:06,2019-11-25 10:44:17,2018-11-02 04:31:00,9.0,1.0,5.0,147,1454.0,2017-12-15 04:52:54,0.0.3,,,2.0,Deep Learning for Julia.,,,10.0,13,False,3,, +54,Enzyme.jl,wsmoses/Enzyme.jl,ml-frameworks,https://github.com/wsmoses/Enzyme.jl,https://github.com/wsmoses/Enzyme.jl,MIT,2019-09-06 20:06:06,2021-04-26 01:00:34,2021-03-25 00:30:13,7.0,15.0,8.0,93,90.0,2021-03-25 01:09:06,0.4.1,,,8.0,Julia bindings for the Enzyme automatic differentiator.,,,7.0,13,False,3,, +55,DataDeps.jl,oxinabox/DataDeps.jl,data-loading,https://github.com/oxinabox/DataDeps.jl,https://github.com/oxinabox/DataDeps.jl,,2017-10-18 01:23:10,2021-01-27 20:11:51,2021-01-27 19:46:04,30.0,24.0,47.0,90,354.0,2021-01-27 20:11:51,0.7.7,,,35.0,reproducible data setup for reproducible science.,,,25.0,13,False,2,, +56,Omega.jl,zenna/Omega.jl,probabilistics,https://github.com/zenna/Omega.jl,https://github.com/zenna/Omega.jl,MIT,2018-03-09 23:01:39,2021-03-31 20:34:49,2021-02-17 01:51:16,10.0,42.0,71.0,86,648.0,2019-06-24 21:56:14,0.1.1,,,2.0,"Causal, Higher-Order, Probabilistic Programming.",,,12.0,13,False,3,, +57,UMAP.jl,dillondaudert/UMAP.jl,ml-frameworks,https://github.com/dillondaudert/UMAP.jl,https://github.com/dillondaudert/UMAP.jl,MIT,2018-09-13 19:59:15,2021-03-23 16:59:18,2021-01-06 00:18:48,10.0,6.0,9.0,77,233.0,2020-10-13 15:14:54,0.1.8,,,9.0,Uniform Manifold Approximation and Projection (UMAP) implementation in Julia.,,,6.0,13,False,3,, +58,Mads.jl,madsjulia/Mads.jl,ml-frameworks,https://github.com/madsjulia/Mads.jl,https://github.com/madsjulia/Mads.jl,,2016-01-26 14:19:09,2021-04-21 23:14:07,2021-04-09 16:26:36,18.0,,17.0,73,2172.0,2021-03-30 16:22:26,1.0.10,,,50.0,MADS: Model Analysis & Decision Support.,,,19.0,13,False,3,, +59,JLBoost.jl,xiaodaigh/JLBoost.jl,ml-frameworks,https://github.com/xiaodaigh/JLBoost.jl,https://github.com/xiaodaigh/JLBoost.jl,MIT,2018-09-27 06:29:18,2021-04-26 03:27:37,2021-04-26 03:27:32,2.0,14.0,8.0,61,160.0,2020-11-28 11:08:40,0.1.16,,,17.0,A 100%-Julia implementation of Gradient-Boosting Regression Tree algorithms.,,,4.0,13,False,3,, +60,GaussianMixtures.jl,davidavdav/GaussianMixtures.jl,probabilistics,https://github.com/davidavdav/GaussianMixtures.jl,https://github.com/davidavdav/GaussianMixtures.jl,,2013-12-04 12:10:37,2021-03-02 00:23:47,2021-01-05 10:57:43,24.0,7.0,25.0,58,413.0,2021-01-05 11:52:22,0.3.4,,,5.0,Large scale Gaussian Mixture Models.,,,20.0,13,False,3,, +61,bat,bat/bat,ml-frameworks,https://github.com/bat/bat,https://github.com/bat/bat,,2014-03-17 15:00:24,2021-02-26 21:31:49,2021-02-26 21:31:16,32.0,41.0,169.0,56,796.0,2018-05-18 21:05:57,1.0.0,5243.0,63.0,9.0,Bayesian analysis toolkit http://mpp.mpg.de/bat.,,,14.0,13,False,3,, +62,Loess.jl,JuliaStats/Loess.jl,ml-frameworks,https://github.com/JuliaStats/Loess.jl,https://github.com/JuliaStats/Loess.jl,,2013-09-14 00:00:30,2021-03-13 09:59:21,2021-01-20 10:13:09,23.0,5.0,14.0,50,77.0,2020-12-15 09:17:05,0.5.3,,,7.0,"Local regression, so smooooth!.",,,23.0,13,False,3,, +63,ReinforcementLearningZoo.jl,JuliaReinforcementLearning/ReinforcementLearningZoo.jl,others,https://github.com/JuliaReinforcementLearning/ReinforcementLearningZoo.jl,https://github.com/JuliaReinforcementLearning/ReinforcementLearningZoo.jl,MIT,2020-02-15 03:08:44,2021-04-22 10:17:13,2021-04-20 20:16:16,20.0,1.0,18.0,44,165.0,2021-04-04 09:03:21,0.3.5,,,16.0,,,,15.0,13,False,1,, +64,DiffEqParamEstim.jl,SciML/DiffEqParamEstim.jl,ml-frameworks,https://github.com/SciML/DiffEqParamEstim.jl,https://github.com/SciML/DiffEqParamEstim.jl,,2016-10-28 11:33:04,2021-02-06 07:28:12,2021-02-06 06:57:36,21.0,15.0,54.0,33,522.0,2021-02-06 07:17:25,1.20.1,,,42.0,Easy scientific machine learning (SciML) parameter estimation with pre-built loss functions.,,,18.0,13,False,3,, +65,DataAugmentation.jl,lorenzoh/DataAugmentation.jl,data-loading,https://github.com/lorenzoh/DataAugmentation.jl,https://github.com/lorenzoh/DataAugmentation.jl,MIT,2020-03-27 13:44:36,2021-04-26 11:00:54,2021-04-26 09:55:42,3.0,2.0,1.0,4,157.0,2021-04-26 11:00:54,0.1.8,,,9.0,Flexible data augmentation library for machine and deep learning.,,,4.0,13,False,2,1.0, +66,Yao.jl,QuantumBFS/Yao.jl,ml-frameworks,https://github.com/QuantumBFS/Yao.jl,https://github.com/QuantumBFS/Yao.jl,,2018-04-13 13:47:02,2021-01-08 18:12:38,2021-01-08 18:09:09,62.0,22.0,112.0,526,498.0,2020-06-08 07:07:09,0.6.3,,,19.0,"Extensible, Efficient Quantum Algorithm Design for Humans.",,,10.0,12,False,3,, +67,Mamba.jl,brian-j-smith/Mamba.jl,ml-frameworks,https://github.com/brian-j-smith/Mamba.jl,https://github.com/brian-j-smith/Mamba.jl,,2014-06-15 14:21:04,2020-08-26 12:36:20,2020-08-26 00:01:31,45.0,39.0,74.0,236,1057.0,2020-04-04 19:02:55,0.12.4,,,51.0,Markov chain Monte Carlo (MCMC) for Bayesian analysis in julia.,,,13.0,12,False,3,, +68,Reinforce.jl,JuliaML/Reinforce.jl,ml-frameworks,https://github.com/JuliaML/Reinforce.jl,https://github.com/JuliaML/Reinforce.jl,,2016-07-25 13:34:25,2021-01-30 19:30:00,2021-01-30 19:29:59,32.0,8.0,14.0,181,139.0,2020-11-17 10:26:40,0.4.0,,,5.0,"Abstractions, algorithms, and utilities for reinforcement learning in Julia.",,,16.0,12,False,3,, +69,Augmentor.jl,Evizero/Augmentor.jl,image,https://github.com/Evizero/Augmentor.jl,https://github.com/Evizero/Augmentor.jl,,2017-05-04 13:13:15,2021-04-22 11:08:09,2020-11-18 11:17:27,31.0,20.0,17.0,97,191.0,2020-09-17 17:04:26,0.6.2,,,11.0,A fast image augmentation library in Julia for machine learning.,,,3.0,12,False,3,, +70,KernelDensity.jl,JuliaStats/KernelDensity.jl,probabilistics,https://github.com/JuliaStats/KernelDensity.jl,https://github.com/JuliaStats/KernelDensity.jl,,2014-04-13 19:14:58,2021-04-19 13:14:05,2021-04-19 12:59:10,27.0,19.0,34.0,96,113.0,2020-10-31 09:07:10,0.6.2,,,9.0,Kernel density estimators for Julia.,,,21.0,12,False,3,1.0, +71,DiffEqBayes.jl,SciML/DiffEqBayes.jl,ml-frameworks,https://github.com/SciML/DiffEqBayes.jl,https://github.com/SciML/DiffEqBayes.jl,,2017-07-24 00:13:20,2021-04-24 08:54:13,2021-04-24 08:45:14,20.0,7.0,49.0,94,570.0,2021-02-11 18:48:12,2.23.0,,,46.0,"Extension functionality which uses Stan.jl, DynamicHMC.jl, and Turing.jl to estimate the parameters to differential..",,,18.0,12,False,3,, +72,LossFunctions.jl,JuliaML/LossFunctions.jl,ml-frameworks,https://github.com/JuliaML/LossFunctions.jl,https://github.com/JuliaML/LossFunctions.jl,,2015-10-11 10:41:50,2021-02-11 11:42:27,2020-06-01 17:39:24,24.0,7.0,66.0,90,423.0,2020-05-05 16:02:53,0.6.2,,,11.0,Julia package of loss functions for machine learning.,,,17.0,12,False,3,, +73,JuliaML/MLDataUtils.jl,JuliaML/MLDataUtils.jl,data-loading,https://github.com/JuliaML/MLDataUtils.jl,https://github.com/JuliaML/MLDataUtils.jl,,2016-02-12 21:17:27,2021-04-25 12:03:13,2021-04-25 12:03:13,16.0,12.0,22.0,76,185.0,2021-04-24 05:18:30,0.5.4,,,9.0,"Utility package for generating, loading, splitting, and processing Machine Learning datasets.",,,15.0,12,False,3,, +74,GLMNet.jl,JuliaStats/GLMNet.jl,probabilistics,https://github.com/JuliaStats/GLMNet.jl,https://github.com/JuliaStats/GLMNet.jl,,2013-11-19 04:41:43,2021-04-22 13:10:02,2021-04-22 12:57:03,24.0,5.0,20.0,76,105.0,2021-04-22 13:10:02,0.6.2,,,11.0,Julia wrapper for fitting Lasso/ElasticNet GLM models using glmnet.,,,13.0,12,False,3,, +75,NMF.jl,JuliaStats/NMF.jl,ml-frameworks,https://github.com/JuliaStats/NMF.jl,https://github.com/JuliaStats/NMF.jl,,2014-02-08 15:25:09,2021-04-20 22:02:17,2021-04-20 21:10:19,28.0,2.0,27.0,70,92.0,2021-04-20 22:02:17,0.5.3,,,8.0,A Julia package for non-negative matrix factorization.,,,12.0,12,False,3,, +76,WordTokenizers.jl,JuliaText/WordTokenizers.jl,nlp,https://github.com/JuliaText/WordTokenizers.jl,https://github.com/JuliaText/WordTokenizers.jl,,2018-04-10 12:29:17,2021-04-10 12:40:02,2021-01-17 10:00:44,23.0,6.0,10.0,66,258.0,2020-08-27 12:17:05,0.5.6,,,13.0,High performance tokenizers for natural language processing and other related tasks.,,,17.0,12,False,2,, +77,CausalInference.jl,mschauer/CausalInference.jl,ml-frameworks,https://github.com/mschauer/CausalInference.jl,https://github.com/mschauer/CausalInference.jl,,2017-08-01 11:52:26,2021-03-10 22:16:30,2021-03-10 22:12:10,16.0,5.0,8.0,62,215.0,2020-12-16 13:06:17,0.5.6,,,9.0,"Causal inference, graphical models and structure learning with the PC algorithm.",,,6.0,12,False,3,, +78,AtomicGraphNets.jl,aced-differentiate/AtomicGraphNets.jl,ml-frameworks,https://github.com/aced-differentiate/AtomicGraphNets.jl,https://github.com/aced-differentiate/AtomicGraphNets.jl,MIT,2020-04-01 21:13:23,2021-04-23 19:52:43,2021-04-16 16:51:04,6.0,13.0,12.0,22,,2021-03-22 20:50:22,0.1.2,,,3.0,Atomic graph models for molecules and crystals in Julia.,,,7.0,12,False,3,, +79,Fairness.jl,ashryaagr/Fairness.jl,interpretability,https://github.com/ashryaagr/Fairness.jl,https://github.com/ashryaagr/Fairness.jl,MIT,2020-05-21 18:10:23,2021-04-25 06:42:04,2021-04-25 06:42:00,9.0,7.0,1.0,17,139.0,2021-03-20 16:14:54,0.3.1,,,7.0,Julia Toolkit with fairness metrics and bias mitigation algorithms.,,,8.0,12,False,1,, +80,AdaGram.jl,sbos/AdaGram.jl,nlp,https://github.com/sbos/AdaGram.jl,https://github.com/sbos/AdaGram.jl,MIT,2015-03-01 19:58:59,2019-11-20 03:48:04,2019-11-20 03:39:12,37.0,14.0,18.0,157,116.0,,,,,,Adaptive Skip-gram implementation in Julia.,,,8.0,11,False,2,, +81,Torch.jl,FluxML/Torch.jl,ml-frameworks,https://github.com/FluxML/Torch.jl,https://github.com/FluxML/Torch.jl,,2020-02-04 09:11:22,2021-04-07 16:26:03,2021-04-07 16:26:03,13.0,14.0,10.0,127,193.0,2020-08-04 00:22:05,0.1.2,,,3.0,Sensible extensions for exposing torch in Julia.,,,12.0,11,False,3,, +82,ONNX.jl,FluxML/ONNX.jl,ml-frameworks,https://github.com/FluxML/ONNX.jl,https://github.com/FluxML/ONNX.jl,,2018-02-09 13:53:32,2021-04-12 17:31:08,2021-04-12 17:31:08,16.0,23.0,15.0,79,164.0,2019-06-25 12:46:51,0.1.1,,,2.0,Read ONNX graphs in Julia.,,,9.0,11,False,3,, +83,ManifoldLearning.jl,wildart/ManifoldLearning.jl,ml-frameworks,https://github.com/wildart/ManifoldLearning.jl,https://github.com/wildart/ManifoldLearning.jl,,2014-07-19 03:30:31,2021-02-10 01:33:10,2021-02-10 00:52:15,15.0,,15.0,58,42.0,2021-02-10 01:33:10,0.6.2,,,4.0,A Julia package for manifold learning and nonlinear dimensionality reduction.,,,3.0,11,False,3,, +84,Embeddings.jl,JuliaText/Embeddings.jl,nlp,https://github.com/JuliaText/Embeddings.jl,https://github.com/JuliaText/Embeddings.jl,MIT,2018-06-06 07:50:20,2020-02-14 20:56:27,2020-02-14 20:56:26,12.0,6.0,9.0,50,89.0,2020-02-09 00:06:15,0.4.2,,,7.0,"Functions and data dependencies for loading various word embeddings (Word2Vec, FastText, GLoVE).",,,7.0,11,False,2,, +85,lathe,bhattlab/lathe,ml-frameworks,https://github.com/bhattlab/lathe,https://github.com/bhattlab/lathe,MIT,2019-03-20 18:12:38,2021-02-10 03:18:37,2021-02-10 03:18:33,11.0,8.0,5.0,43,283.0,,,,,,A tool for generating bacterial genomes from metagenomes with nanopore long read sequencing.,,,5.0,11,False,3,, +86,ROCAnalysis.jl,davidavdav/ROCAnalysis.jl,ml-frameworks,https://github.com/davidavdav/ROCAnalysis.jl,https://github.com/davidavdav/ROCAnalysis.jl,,2014-03-13 08:23:30,2021-04-07 09:17:37,2021-04-07 07:49:52,6.0,3.0,6.0,23,127.0,2021-04-07 09:17:37,0.3.2,,,3.0,Receiver Operating Characteristics and functions for evaluation probabilistic binary classifiers.,,,6.0,11,False,3,, +87,cscherrer/SossMLJ.jl,cscherrer/SossMLJ.jl,probabilistics,https://github.com/cscherrer/SossMLJ.jl,https://github.com/cscherrer/SossMLJ.jl,MIT,2019-10-29 19:33:19,2021-04-25 00:08:49,2021-04-13 17:26:26,1.0,12.0,38.0,11,86.0,2021-04-13 17:41:12,0.3.0,,,3.0,SossMLJ makes it easy to build MLJ machines from user-defined models from the Soss probabilistic programming language.,,,4.0,11,False,3,, +88,BytePairEncoding.jl,chengchingwen/BytePairEncoding.jl,nlp,https://github.com/chengchingwen/BytePairEncoding.jl,https://github.com/chengchingwen/BytePairEncoding.jl,MIT,2018-12-03 13:06:41,2021-04-09 04:13:59,2021-04-09 04:13:54,2.0,,2.0,3,72.0,2021-04-08 20:39:49,0.2.0,,,3.0,Julia implementation of Byte Pair Encoding for NLP.,,,,11,False,2,, +89,FastAI.jl,FluxML/FastAI.jl,ml-frameworks,https://github.com/FluxML/FastAI.jl,https://github.com/FluxML/FastAI.jl,MIT,2020-05-20 23:06:49,2021-04-26 00:59:04,2021-04-20 09:20:39,19.0,11.0,7.0,147,141.0,,,,,,"Repository of best practices for deep learning in Julia, inspired by fastai.",,,11.0,10,True,3,, +90,Word2Vec.jl,JuliaText/Word2Vec.jl,nlp,https://github.com/JuliaText/Word2Vec.jl,https://github.com/JuliaText/Word2Vec.jl,,2015-09-03 21:49:18,2020-11-30 22:30:04,2020-11-30 20:47:55,11.0,4.0,8.0,50,97.0,2020-11-30 22:30:05,0.5.3,,,4.0,Julia interface to word2vec.,,,7.0,10,False,3,, +91,MLDataPattern.jl,JuliaML/MLDataPattern.jl,data-loading,https://github.com/JuliaML/MLDataPattern.jl,https://github.com/JuliaML/MLDataPattern.jl,,2017-03-31 11:44:53,2021-02-11 19:17:10,2020-11-30 06:27:20,11.0,12.0,14.0,40,135.0,2020-10-30 13:11:51,0.5.4,,,12.0,"Utility package for subsetting, resampling, iteration, and partitioning of various types of data sets in Machine..",,,13.0,10,False,3,, +92,Languages.jl,JuliaText/Languages.jl,nlp,https://github.com/JuliaText/Languages.jl,https://github.com/JuliaText/Languages.jl,,2012-12-21 04:07:57,2021-03-31 18:19:09,2021-03-31 18:19:08,19.0,2.0,7.0,34,102.0,2020-04-08 22:11:29,0.4.3,,,6.0,A package for working with human languages.,,,16.0,10,False,3,, +93,CorpusLoaders.jl,JuliaText/CorpusLoaders.jl,data-loading,https://github.com/JuliaText/CorpusLoaders.jl,https://github.com/JuliaText/CorpusLoaders.jl,,2016-08-26 08:02:52,2021-03-24 13:18:58,2021-03-24 13:18:58,8.0,8.0,9.0,20,209.0,2020-01-04 09:45:51,0.3.1,,,3.0,A variety of loaders for various NLP corpora.,,,11.0,10,False,3,-1.0, +94,TextModels.jl,JuliaText/TextModels.jl,nlp,https://github.com/JuliaText/TextModels.jl,https://github.com/JuliaText/TextModels.jl,,2020-09-04 20:10:47,2021-01-08 15:17:34,2020-11-17 20:49:28,5.0,5.0,1.0,7,336.0,2020-11-01 22:45:50,0.1.0,,,1.0,Neural Network based models for Natural Language Processing.,,,24.0,10,False,3,, +95,WordNet.jl,JuliaText/WordNet.jl,nlp,https://github.com/JuliaText/WordNet.jl,https://github.com/JuliaText/WordNet.jl,,2015-09-21 22:18:44,2020-02-08 17:36:15,2020-02-08 17:36:13,8.0,2.0,4.0,22,75.0,2019-03-01 17:34:47,0.2.2,,,3.0,A Julia package for Princeton's WordNet.,,,11.0,9,False,3,, +96,DiscriminantAnalysis.jl,trthatcher/DiscriminantAnalysis.jl,ml-frameworks,https://github.com/trthatcher/DiscriminantAnalysis.jl,https://github.com/trthatcher/DiscriminantAnalysis.jl,MIT,2013-10-08 03:48:09,2021-01-10 00:58:12,2021-01-10 00:57:58,6.0,5.0,4.0,7,216.0,,,,,,Regularized discriminant analysis in Julia.,,,7.0,9,False,3,, +97,TopicModels.jl,slycoder/TopicModels.jl,nlp,https://github.com/slycoder/TopicModels.jl,https://github.com/slycoder/TopicModels.jl,MIT,2013-03-17 03:32:26,2020-05-31 01:53:24,2020-05-31 01:53:23,14.0,,4.0,31,14.0,,,,,,TopicModels for Julia.,,,6.0,8,False,3,, +98,TimeSeriesClassification.jl,alan-turing-institute/TimeSeriesClassification.jl,ml-frameworks,https://github.com/alan-turing-institute/TimeSeriesClassification.jl,https://github.com/alan-turing-institute/TimeSeriesClassification.jl,MIT,2020-05-06 16:20:21,2020-12-01 15:36:57,2020-12-01 15:36:48,4.0,5.0,1.0,19,103.0,,,,,,Machine Learning with Time Series in Julia.,,,7.0,8,False,3,, +99,OpenAIGym.jl,JuliaML/OpenAIGym.jl,ml-frameworks,https://github.com/JuliaML/OpenAIGym.jl,https://github.com/JuliaML/OpenAIGym.jl,,2016-04-30 01:01:35,2020-07-21 05:30:41,2020-07-21 05:30:40,18.0,10.0,9.0,81,83.0,,,,,,OpenAI's Gym binding for Julia.,,,12.0,7,False,3,, +100,DistributedReinforcementLearning.jl,JuliaReinforcementLearning/DistributedReinforcementLearning.jl,others,https://github.com/JuliaReinforcementLearning/DistributedReinforcementLearning.jl,https://github.com/JuliaReinforcementLearning/DistributedReinforcementLearning.jl,MIT,2020-10-29 15:21:52,2020-12-19 00:25:16,2020-11-22 05:41:36,2.0,,1.0,2,19.0,2020-11-26 00:21:54,0.1.0,,,1.0,"If it works, it works everywhere!.",,,,7,False,3,, +101,Snowball.jl,JuliaText/Snowball.jl,nlp,https://github.com/JuliaText/Snowball.jl,https://github.com/JuliaText/Snowball.jl,MIT,2020-03-24 17:21:51,2020-11-17 20:55:14,2020-11-17 20:53:33,,,,1,15.0,2020-09-06 23:51:55,0.1.0,,,1.0,Snowball stemming algorithms.,,,2.0,5,False,3,, diff --git a/latest-changes.md b/latest-changes.md index f4397e2..cc72f6b 100644 --- a/latest-changes.md +++ b/latest-changes.md @@ -1 +1,16 @@ -Nothing changed from last update. \ No newline at end of file +## 📈 Trending Up + +_Projects that have a higher project-quality score compared to the last update. There might be a variety of reasons, such as increased downloads or code activity._ + +- Turing.jl (🥇20 · ⭐ 1.2K · 📈) - Bayesian inference with probabilistic programming. MIT +- ScikitLearn.jl (🥈14 · ⭐ 430 · 📈) - Julia implementation of the scikit-learn API.. ❗Unlicensed +- ReadStat.jl (🥉14 · ⭐ 65 · 📈) - Read files from Stata, SAS, and SPSS. MIT +- DataAugmentation.jl (🥈13 · ⭐ 4 · 📈) - Flexible data augmentation library for machine and deep.. MIT +- KernelDensity.jl (🥉12 · ⭐ 96 · 📈) - Kernel density estimators for Julia. ❗Unlicensed + +## 📉 Trending Down + +_Projects that have a lower project-quality score compared to the last update. There might be a variety of reasons such as decreased downloads or code activity._ + +- CorpusLoaders.jl (🥉10 · ⭐ 20 · 📉) - A variety of loaders for various NLP corpora. ❗Unlicensed +