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pytorch-examples

Simple examples to introduce PyTorch

pytorch-exercises

Pytorch exercises

pytorch-explain-black-box

PyTorch implementation of Interpretable Explanations of Black Boxes by Meaningful Perturbation

pytorch-flows

PyTorch implementations of algorithms for density estimation

pytorch-gan

PyTorch implementations of Generative Adversarial Networks.

pytorch-gat

My implementation of the original GAT paper (Veličković et al.). I've additionally included the playground.py file for visualizing the Cora dataset, GAT embeddings, an attention mechanism, and entropy histograms. I'll add an inductive example (PPI) soon as well.

pytorch-generative-adversarial-networks

A very simple generative adversarial network (GAN) in PyTorch

pytorch-generative-model-collections

Collection of generative models in Pytorch version.

pytorch-grad-cam

PyTorch implementation of Grad-CAM

pytorch-groupnorm

Group Normalization in PyTorch

pytorch-i3d

pytorch-intro

A couple of scripts to illustrate how to do CNNs and RNNs in PyTorch

pytorch-kaggle-starter

Pytorch starter kit for Kaggle competitions

pytorch-kaldi

pytorch-kaldi is a project for developing state-of-the-art DNN/RNN hybrid speech recognition systems. The DNN part is managed by pytorch, while feature extraction, label computation, and decoding are performed with the kaldi toolkit.

pytorch-lbcnn

Local Binary Convolutional Neural Networks by pytorch

pytorch-linknet

pytorch-made

MADE (Masked Autoencoder Density Estimation) implementation in PyTorch

pytorch-maml

PyTorch implementation of MAML: https://arxiv.org/abs/1703.03400

pytorch-maml-rl

Reinforcement Learning with Model-Agnostic Meta-Learning in Pytorch

pytorch-mask-rcnn

pytorch-mask-x-rcnn

PyTorch implementation of the Mask-X-RCNN network proposed in the 'Learning to Segment Everything' paper by Facebook AI Research

pytorch-mcn

Convert models from MatConvNet to PyTorch

pytorch-meta-optimizer

A PyTorch implementation of Learning to learn by gradient descent by gradient descent

pytorch-mini-tutorials

Minimal tutorials for PyTorch

pytorch-mnist-celeba-cgan-cdcgan

Pytorch implementation of conditional Generative Adversarial Networks (cGAN) and conditional Deep Convolutional Generative Adversarial Networks (cDCGAN) for MNIST dataset

pytorch-mnist-celeba-gan-dcgan

Pytorch implementation of Generative Adversarial Networks (GAN) and Deep Convolutional Generative Adversarial Networks (DCGAN) for MNIST and CelebA datasets

pytorch-mobilenet

PyTorch MobileNet Implementation of "MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications"

pytorch-mobilenet-v2

A PyTorch implementation of MobileNet V2 architecture and pretrained model.

pytorch-multi-label-classifier

A pytorch implemented classifier for Multiple-Label classification

pytorch-nce

The Noise Contrastive Estimation for softmax output written in Pytorch