State of the Art of Music Generation with Deep Learning and AI
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Mar 16, 2023
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neural-network-architectures
Here are 42 public repositories matching this topic...
ActTensor: Activation Functions for TensorFlow. https://pypi.org/project/ActTensor-tf/ Authors: Pouya Ardehkhani, Pegah Ardehkhani
python data-science deep-neural-networks ai deep-learning tensorflow python-library python3 artificial-intelligence neural-networks deeplearning activation python-package activations activation-methods activation-functions neural-network-architectures activation-code tensorflow2 activation-function
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Jun 11, 2024 - Python
[arXiv'18] Security Analysis of Deep Neural Networks Operating in the Presence of Cache Side-Channel Attacks
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Feb 19, 2020 - Python
Platform + GUI for hyperparameter optimization of recurrent neural networks (MATLAB).
gui matlab recurrent-networks hyperparameter-optimization rnn hyperparameter-tuning parallel-processing hyperparameter-search neural-network-architectures
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Dec 29, 2021 - MATLAB
This repository is the implementation of several famous convolution neural network architecture with Keras. (Resnet v1, Resnet v2, Inception v1/GoogLeNet, Inception v2, Inception v3))
deep-neural-networks deep-learning keras resnet convolutional-neural-networks inception inceptionv3 googlenet maching-learning inceptionv2 neural-network-architectures
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Aug 11, 2019 - Python
📺 A Python library for pruning and visualizing Keras Neural Networks' structure and weights
visualization neural-network neural-networks pruning keras-neural-networks keras-visualization visualization-tools explainable-artificial-intelligence neural-network-python explainable-ai explainable-ml xai neural-network-architectures weights-visualization explainable xai-library explainable-deepneuralnetwork
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Dec 24, 2019 - Python
A toolkit for training CNN-1DRNN-CTC model to perform line-level Handwritten Text Recognition
machine-learning ai deep-learning toolkit tensorflow keras recurrent-neural-networks lstm neural-networks htr handwriting-recognition paper-implementations ctc-loss neural-network-architectures conv-lstm
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Apr 19, 2020 - Python
Improving Prediction of Daily Visits of Wikipedia Mathematics Topics using Graph Neural Networks
python research neural-network article wikipedia cuda torch pytorch neural-networks neural-network-example neural-network-tutorials neural-network-architectures graph-neural-networks convgru graph-neural-network gconvgru
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May 14, 2022 - Python
Step by Step Math Behind Multilayer Perceptron Neural Networks Backpropagation with Manual Code Python and Excel For Detecting Potential Obesity
neural-network backpropagation neural-network-python neural-network-architectures backpropagation-neural-network neural-network-from-scratch step-by-step-backpropagation math-behind-backpropagation backpropagation-python backpropagation-manual-code backpropagation-excel backpropagation-indonesia
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Sep 19, 2022 - Python
AI concepts, papers, algorithms, tutorials, AI roadmap
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Dec 28, 2024
AAAI 2021. Neural Sequence-to-grid Module for Learning Symbolic Rules
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Jan 15, 2021 - Python
TorchArc: Build PyTorch models by specifying architectures.
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Dec 29, 2024 - Python
Public repository of our work in the search for an optimal multi-view crop classifier (considering encoder architectures and fusion strategies)
deep-learning sensor-fusion multi-view-learning neural-network-architectures cropland-mapping crop-classification multi-modal-learning
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Dec 18, 2024 - Python
Transformers-based Neural Network harbor logistic prediction model
deep-learning time-series-prediction neural-network-architectures bigdata-analysis transformers-models
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Aug 2, 2023 - Python
The project implements Siamese Network with Triplet Loss in Keras to learn meaningful image representations in a lower-dimensional space. By training on the MNIST dataset, it creates a powerful architecture and implements Triplet Loss function. The resulting model enables applications like image search, recommendation systems, and image clustering.
mnist-dataset triplet-loss neural-network-architectures siamese-networks image-representation-learning-mnist-dataset deep-learning-with-keras
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Feb 24, 2024 - Jupyter Notebook
Essential deep learning algorithms, concepts, examples and visualizations with TensorFlow. Popular and custom neural network architectures. Applications of neural networks.
data-science deep-learning neural-network linear-regression language-modeling cnn recurrent-neural-networks recommendation-system lstm-model restricted-boltzmann-machine tensorflow-tutorials convolutional-neural-networks autoencoders neural-network-example deep-belief-network artificial-intelligence-algorithms long-short-term-memory-models neural-network-algorithm activation-functions neural-network-architectures
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Nov 3, 2018 - Jupyter Notebook
Many Neural Network architectures are there. Basically Keras applications. You can find here the structures, implementations all you need. Have fun!
machine-learning deep-learning neural-network keras nn cnn convolutional-neural-networks keras-neural-networks neuralnetwork neural-network-architectures keras-application
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Jan 18, 2023 - Python
A multi task neural network implemented from scratch, performing object detection with SSD and semantic segmentation with DeeplabV3+ simultaneosly!
computer-vision tensorflow keras ssd object-detection image-segmentation semantic-segmentation single-shot-multibox-detector mobilenetv2 mobilenet-v2 deeplabv3 image-object-detection neural-network-architectures ssdlite deeplab-v3-plus neural-networks-from-scratch shufflenet-v2 shufflenetv2 single-shot-detector
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Aug 28, 2024 - Jupyter Notebook
Neural Network Architcture | ISI Kolkata
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Feb 3, 2020 - Jupyter Notebook
Programming Assignments completed under first Course of Deep Learning Specialisation(Coursera)
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Jul 8, 2021 - Jupyter Notebook
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