View Code? Open in Web Editor
NEW
This project forked from rickiepark /awesome-pytorch
Awesome PyTorch
License: MIT License
awesome-pytorch's Introduction
A PyTorch Implementation of DenseNet : Densely Connected Convolutional Networks, 1608.06993
attention-is-all-you-need-pytorch : Attention Is All You Need, 1706.03762
Attention Transfer : Paying More Attention to Attention: Improving the Performance of Convolutional Neural Networks via Attention Transfer, 1612.03928
BEGAN in PyTorch : BEGAN: Boundary Equilibrium Generative Adversarial Networks, 1703.10717
CycleGAN and pix2pix : CycleGAN and pix2pix in PyTorch, 1703.10593 , 1611.07004
Deformable Convolution : Deformable Convolution, 1703.06211
DiscoGAN(1) , DiscoGAN(2) : Learning to Discover Cross-Domain Relations with Generative Adversarial Networks, 1703.05192
diracnets : DiracNets: Training Very Deep Neural Networks Without Skip-Connections, 1706.00388
dragan-pytorch , How to Train Your DRAGAN, 1705.07215
Evolution Strategies : Evolution Strategies as a Scalable Alternative to Reinforcement Learning ,1703.03864
Grad-CAM : Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization, 1610.02391
Grammar Variational Autoencoder : Grammar Variational Autoencoder, 1703.01925
pytorch-mobilenet : PyTorch MobileNet Implementation of "MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications", 1704.04861
neural-combinatorial-rl-pytorch : Neural Combinatorial Optimization with Reinforcement Learning, 1611.09940
Neural Message Passing : Neural Message Passing for Quantum Chemistry, 1704.01212
ODIN: Out-of-Distribution Detector for Neural Networks : Principled Detection of Out-of-Distribution Examples in Neural Networks, 1706.02690
pytorch-fcn : PyTorch Implementation of Fully Convolutional Networks, 1605.06211
PyTorch-Style-Transfer : Multi-style Generative Network for Real-time Transfer, 1703.06953 and Image Style Transfer Using Convolutional Neural Networks, pdf
PyScatWave : Scaling the Scattering Transform, 1703.08961
pytorch-pruning : Pruning Convolutional Neural Networks for Resource Efficient Inference, 1611.06440
relational-networks : A simple neural network module for relational reasoning, (1706.01427)[https://arxiv.org/abs/1706.01427 ]
Recurrent Variational Autoencoder : Recurrent Variational Autoencoder that generates sequential data implemented in pytorch, 1511.06349 , 1508.06615
TreeLSTM : Improved Semantic Representations From Tree-Structured Long Short-Term Memory Networks, 1503.00075
VAE with a VampPrior : Variational Mixture of Posteriors, 1705.07120
Visual Question Answering in Pytorch : MUTAN: Multimodal Tucker Fusion for Visual Question Answering, 1705.06676
Wasserstein GAN : Wasserstein GAN, 1701.07875
Weight Normalized GAN : On the Effects of Batch and Weight Normalization in Generative Adversarial Networks, 1704.03971
YOLOv2 in PyTorch : PyTorch implementation of YOLOv2, 1612.08242
Deep Learning for NLP with PyTorch : An IPython Notebook tutorial on deep learning, with an emphasis on Natural Language Processing
Practical PyTorch : Practical PyTorch tutorials, focused on using RNNs for NLP
Pytorch Examples : This repository introduces the fundamental concepts of PyTorch through self-contained examples
PyTorch Mini Tutorials : Minimal tutorials for PyTorch adapted from Alec Radford's Theano tutorials.
Pytorch Official Examples : A repository showcasing examples of using pytorch
Pytorch Official Tutorials : PyTorch Tutorials
pytorch-playground : Base pretrained models and datasets in pytorch (MNIST, SVHN, CIFAR10, CIFAR100, STL10, AlexNet, VGG16, VGG19, ResNet, Inception, SqueezeNet)
Pytorch Tutorial : PyTorch Tutorials. Most of the models were implemented with less than 30 lines of code.
PyTorch Tutorials : PyTorch tutorials better rendered with readthedocs style
t-SNE experiments in pytorch : A simple t-SNE model implemented in pytorch
Welcome tutorials : MILA's pytorch tutorials
awesome-pytorch's People
Contributors
Watchers