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pytorch-dnc-1

Neural Turing Machine (NTM) & Differentiable Neural Computer (DNC) with pytorch & visdom

pytorch-dppo

Pytorch implementation of Distributed Proximal Policy Optimization: https://arxiv.org/abs/1707.02286

pytorch-eventprop

A PyTorch implementation of EventProp [https://arxiv.org/abs/2009.08378], a method to train Spiking Neural Networks

pytorch-fid

Compute FID scores with PyTorch.

pytorch-gan

PyTorch implementations of Generative Adversarial Networks.

pytorch-gan-collections

pytorch-generative-model-collections

Collection of generative models in Pytorch version.

pytorch-grad-cam

Many Class Activation Map methods implemented in Pytorch for CNNs and Vision Transformers. Including Grad-CAM, Grad-CAM++, Score-CAM, Ablation-CAM and XGrad-CAM

pytorch-hed

a reimplementation of Holistically-Nested Edge Detection in PyTorch

pytorch-i-revnet

i-RevNet Pytorch Code

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-learn-reinforcement-learning

A collection of various RL algorithms like policy gradients, DQN and PPO. The goal of this repo will be to make it a go-to resource for learning about RL. How to visualize, debug and solve RL problems. I've additionally included playground.py for learning more about OpenAI gym, etc.

pytorch-lightning

Rapid research framework for PyTorch. The researcher's version of Keras

pytorch-liteflownet

a reimplementation of LiteFlowNet in PyTorch that matches the official Caffe version

pytorch-lr-dropout

"Learning Rate Dropout" in PyTorch

pytorch-lr-scheduler

PyTorch implementation of some learning rate schedulers for deep learning researcher.

pytorch-made

MADE (Masked Autoencoder Density Estimation) implementation in PyTorch

pytorch-maml

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

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-medical-segmentation

This repository is an unoffical PyTorch implementation of Medical segmentation in 3D and 2D.

pytorch-meta

A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch

pytorch-metric-learning

The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.

pytorch-nce

The Noise Contrastive Estimation for softmax output written in Pytorch

pytorch-nlp

Supporting Rapid Prototyping with a Toolkit (incl. Datasets and Neural Network Layers)

pytorch-nlp-notebooks

Learn how to use PyTorch to solve some common NLP problems with deep learning.

pytorch-ntm

Neural Turing Machines (NTM) - PyTorch Implementation

pytorch-optimizer

torch-optimizer -- collection of optimizers for Pytorch

pytorch-pcn

Pytorch implementation of PCN

pytorch-playground

Base pretrained models and datasets in pytorch (MNIST, SVHN, CIFAR10, CIFAR100, STL10, AlexNet, VGG16, VGG19, ResNet, Inception, SqueezeNet)

pytorch-pose

A PyTorch toolkit for 2D Human Pose Estimation.