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pytorch-forecasting

Time series forecasting with PyTorch

pytorch-gans

My implementation of various GAN (generative adversarial networks) architectures like vanilla GAN, cGAN, DCGAN, etc.

pytorch-generative

Easy generative modeling in PyTorch.

pytorch-generative-model-collections

Collection of generative models in Pytorch version.

pytorch-goodies

PyTorch Boilerplate For Research

pytorch-hardnet

35% faster than ResNet: Harmonic DenseNet, A low memory traffic network

pytorch-image-classification

Classifying cat and dog images using Kaggle dataset

pytorch-image-models

PyTorch image models, scripts, pretrained weights -- (SE)ResNet/ResNeXT, DPN, EfficientNet, MixNet, MobileNet-V3/V2, MNASNet, Single-Path NAS, FBNet, and more

pytorch-in-action

pytorch-inpainting-with-partial-conv

Unofficial pytorch implementation of 'Image Inpainting for Irregular Holes Using Partial Convolutions' [Liu+, ECCV2018]

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-lamb

Implementation of https://arxiv.org/abs/1904.00962

pytorch-lightning

The lightweight PyTorch wrapper for ML researchers. Scale your models. Write less boilerplate

pytorch-loss

label-smooth, amsoftmax, focal-loss, triplet-loss. Maybe useful

pytorch-lr-finder

A learning rate range test implementation in PyTorch

pytorch-material-classification

Material Classification with Convolutional Networks in PyTorch

pytorch-memonger

Sublinear memory optimization for deep learning. https://arxiv.org/abs/1604.06174

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 metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.

pytorch-mobilenet-v2

A PyTorch implementation of MobileNet V2 architecture and pretrained model.

pytorch-model-to-tensorrt

pytorch-multi-label-classifier

A pytorch implemented classifier for Multiple-Label classification

pytorch-optimizer

torch-optimizer -- collection of optimizers for Pytorch

pytorch-original-transformer

My implementation of the original transformer model (Vaswani et al.). I've additionally included the playground.py file for visualizing otherwise seemingly hard concepts. Currently included IWSLT pretrained models.

pytorch-pcgrad

Pytorch reimplementation for "Gradient Surgery for Multi-Task Learning"

pytorch-pfn-extras

Supplementary components to accelerate research and development in PyTorch

pytorch-pyramid-feature-attention-network-for-saliency-detection

There is a paper in CVPR 2019 about the saliency detection. The source code of this paper is using the keras framework. We transform them into pytorch framework.

pytorch-quantum

A PyTorch-centric hybrid classical-quantum machine learning framework

pytorch-quaternion-neural-networks

This repository is an update to all previous repositories with implementations of various Quaternion-valued Neural Networks in PyTorch

pytorch-resnet-example

Resnet example that trains on the 5-particle practice data