Curated collection of Data Science, Machine Learning and Deep Learning papers, reviews and articles that are on must read list.
NOTE: ๐ง in process of updating, let me know what additional papers, articles, blogs to add I will add them here.
๐ โญ this repo
- ๐ ๐ Please feel free to Submit Pull Request, if links are broken, or I am missing any important papers, blogs or articles.
- ๐ Reading paper with heavy math is hard, it takes time and effort to understand, most of it is dedication and motivation to not quit, don't be discouraged, read once, read twice, read thrice,... until it clicks and blows you away.
๐ฅ - Read it first
๐ฅ - Read it second
๐ฅ - Read it third
๐ฅ ๐Data preprocessing - Tidy data - by Hadley Wickham
๐ฅ ๐ Statistical Modeling: The Two Cultures - by Leo Breiman
๐ฅ ๐ Frequentism and Bayesianism: A Python-driven Primer by Jake VanderPlas
๐ฅ ๐ A Brief Introduction into Machine Learning - by Gunnar Ratsch
๐ฅ ๐ On Model Stability as a Function of Random Seed
๐ฅ ๐ฐ Outlier Detection : A Survey
๐ฅ ๐ XGBoost: A Scalable Tree Boosting System
๐ฅ ๐ LightGBM: A Highly Efficient Gradient BoostingDecision Tree
๐ฅ ๐ AdaBoost and the Super Bowl of Classifiers - A Tutorial Introduction to Adaptive Boosting
๐ฅ ๐ Greedy Function Approximation: A Gradient Boosting Machine
๐ฅ ๐ Data Shapley: Equitable Valuation of Data for Machine Learning
๐ฅ ๐ A Tutorial on Principal Component Analysis
๐ฅ ๐ How to Use t-SNE Effectively
๐ฅ ๐ Visualizing Data using t-SNE
๐ฅ ๐ A Tutorial on Bayesian Optimization
๐ฅ ๐ Taking the Human Out of the Loop: A review of Bayesian Optimization
๐ฅ ๐ A Survey of Collaborative Filtering Techniques
๐ฅ ๐ Collaborative Filtering Recommender Systems
๐ฅ ๐ Deep Learning Based Recommender System: A Survey and New Perspectives
๐ฅ ๐ ๐ค โญ Explainable Recommendation: A Survey and New Perspectives โญ
๐ฅ ๐ The Netflix Recommender System: Algorithms, Business Value,and Innovation
- ๐ Netflix Medium Blog
๐ฅ ๐ Two Decades of Recommender Systems at Amazon.com
๐ฅ ๐ How Does Spotify Know You So Well?
๐ More In-Depth study, ๐ Recommender Systems Handbook
๐ Stanford UFLDL Deep Learning Tutorial
๐ Distill.pub
๐ Colah's Blog
๐ Andrej Karpathy
๐ Zack Lipton
๐ Sebastian Ruder
๐ Jay Alammar
โญ ๐ฅ ๐ฐ The Matrix Calculus You Need For Deep Learning - Terence Parr and Jeremy Howard โญ
๐ฅ ๐ฐ Deep learning -Yann LeCun, Yoshua Bengio & Geoffrey Hinton
๐ฅ ๐ Generalization in Deep Learning
๐ฅ ๐ Topology of Learning in Artificial Neural Networks
๐ฅ ๐ Dropout: A Simple Way to Prevent Neural Networks from Overfitting
๐ฅ ๐ Polynomial Regression As an Alternative to Neural Nets
๐ฅ ๐ The Neural Network Zoo
๐ฅ ๐ Image Completion with Deep Learning in TensorFlow
๐ฅ ๐ Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
๐ฅ ๐ A systematic study of the class imbalance problem in convolutional neural networks
๐ฅ ๐ All Neural Networks are Created Equal
๐ฅ ๐ Adam: A Method for Stochastic Optimization
๐ฅ ๐ AutoML: A Survey of the State-of-the-Art
๐ฅ ๐ Visualizing and Understanding Convolutional Networks -by Andrej Karpathy Justin Johnson Li Fei-Fei
๐ฅ ๐ Deep Residual Learning for Image Recognition
๐ฅ ๐AlexNet-ImageNet Classification with Deep Convolutional Neural Networks
๐ฅ ๐VGG Net-VERY DEEP CONVOLUTIONAL NETWORKS FOR LARGE-SCALE IMAGE RECOGNITION
๐ฅ ๐ A Mathematical Theory of Deep Convolutional Neural Networks for Feature Extraction
๐ฅ ๐ Large-scale Video Classification with Convolutional Neural Networks
๐ฅ ๐ Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering
๐ฅ ๐ Dynamic Routing Between Capsules
-
Blog explaning, "What are CapsNet, or Capsule Networks?"
๐ฅ ๐ Show and Tell: A Neural Image Caption Generator
๐ฅ ๐ Neural Machine Translation by Jointly Learning to Align and Translate
๐ฅ ๐ StyleNet: Generating Attractive Visual Captions with Styles
๐ฅ ๐ Show, Attend and Tell: Neural Image Caption Generation with Visual Attention
๐ฅ ๐ Where to put the Image in an Image Caption Generator
๐ฅ ๐ Dank Learning: Generating Memes Using Deep Neural Networks
๐ฅ ๐ResNet-Deep Residual Learning for Image Recognition
๐ฅ ๐ YOLO-You Only Look Once: Unified, Real-Time Object Detection
๐ฅ ๐ Microsoft COCO: Common Objects in Context
๐ฅ ๐ (R-CNN) Rich feature hierarchies for accurate object detection and semantic segmentation
๐ฅ ๐ Fast R-CNN
- ๐ป Papers with Code
๐ฅ ๐ Faster R-CNN
- ๐ป Papers with Code
๐ฅ ๐ Mask R-CNN
- ๐ป Papers with Code
๐ฅ ๐ DensePose: Dense Human Pose Estimation In The Wild
- ๐ป Papers with Code
๐ฅ ๐ Parsing R-CNN for Instance-Level Human Analysis
- ๐ป Papers with Code
๐ฅ ๐ A Primer on Neural Network Models for Natural Language Processing
๐ฅ ๐ Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling
๐ฅ ๐ On the Properties of Neural Machine Translation: EncoderโDecoder Approaches
๐ฅ ๐ LSTM: A Search Space Odyssey - by Klaus Greff et al.
๐ฅ ๐ A Critical Review of Recurrent Neural Networksfor Sequence Learning
๐ฅ ๐ Visualizing and Understanding Recurrent Networks
โญ ๐ฅ ๐ Attention Is All You Need โญ
๐ฅ ๐ An Empirical Exploration of Recurrent Network Architectures
๐ฅ ๐ Open AI (GPT-2) Language Models are Unsupervised Multitask Learners
๐ฅ ๐ BERT: Pre-training of Deep Bidirectional Transformers forLanguage Understanding
๐ฅ ๐ Parameter-Efficient Transfer Learning for NLP
๐ฅ ๐ A Survey on Recent Advances in Named Entity Recognition from Deep Learning models
๐ฅ ๐ Convolutional Neural Networks for Sentence Classification
๐ฅ ๐ Pervasive Attention: 2D Convolutional Neural Networks for Sequence-to-Sequence Prediction
๐ฅ ๐ Single Headed Attention RNN: Stop Thinking With Your Head
๐ฅ ๐ Generative Adversarial Nets - Goodfellow et al.
๐ GAN Rabbit Hole -> GAN Papers
๐ฅ ๐ A Comprehensive Survey on Graph Neural Networks
Machine learning classifiers and fMRI: a tutorial overview - by Francisco et al.
๐ ๐ SoundNet: Learning Sound Representations from Unlabeled Video
๐จ ๐ Deep Painterly Harmonization
๐บ ๐ ๐ Everybody Dance Now
๐ฑโโ๏ธ ๐โโ๏ธ ๐ SC-FEGAN: Face Editing Generative Adversarial Network with User's Sketch and Color
๐ธ ๐ Handheld Mobile Photography in Very Low Light
๐ฏ ๐ ๐ Learning Deep Features for Scene Recognitionusing Places Database
๐ ๐ ๐ High-Speed Tracking withKernelized Correlation Filters
๐ฌ ๐ Recent progress in semantic image segmentation
Rabbit hole -> ๐ ๐ Analytics Vidhya Top 10 Audio Processing Tasks and their papers
:blonde_man: -> ๐ด ๐ ๐ Face Aging With Condintional GANS
:blonde_man: -> ๐ด ๐ ๐ Dual Conditional GANs for Face Aging and Rejuvenation
โ๏ธ ๐ BAGAN: Data Augmentation with Balancing GAN
labml.ai Annotated PyTorch Paper Implementations
8 Awesome Data Science Capstone Projects
10 Powerful Applications of Linear Algebra in Data Science
Top 5 Interesting Applications of GANs
Deep Learning Applications a beginner can build in minutes
2019-10-28 Started must-read-papers-for-ml
repo
2019-10-29 Added analytics vidhya use case studies article links
2019-10-30 Added Outlier/Anomaly detection paper, separated Boosting, CNN, Object Detection, NLP papers, and added Image captioning papers
2019-10-31 Added Famous Blogs from Deep and Machine Learning Researchers
2019-11-1 Fixed markdown issues, added contribution guideline
2019-11-20 Added Recommender Surveys, and Papers
2019-12-12 Added R-CNN variants, PoseNets, GNNs
2020-02-23 Added GRU paper