An Open Source Machine Learning Framework for Everyone

Yoga is an embeddable layout engine targeting web standards.

tensorboard for pytorch (and chainer, mxnet, numpy, ...)

TorchBench is a collection of open source benchmarks used to evaluate PyTorch performance.

Deep Learning for humans

🔥 2D and 3D Face alignment library build using pytorch

A highly efficient implementation of Gaussian Processes in PyTorch

PyTorch models for imagenet classification

TensorFlow-based neural network library

SenseTime Research platform for single object tracking, implementing algorithms like SiamRPN and SiamMask.

an implementation of Video Frame Interpolation via Adaptive Separable Convolution using PyTorch

http://torch.ch

Convolutional recurrent network in pytorch

Caffe: a fast open framework for deep learning.

A PyTorch implementation of the Transformer model in "Attention is All You Need".

D2-Net: A Trainable CNN for Joint Description and Detection of Local Features

Simple PyTorch Tutorials Zero to ALL!

A python tool for evaluating the quality of sentence embeddings.

Pytorch implementation for Semantic Segmentation/Scene Parsing on MIT ADE20K dataset

Microsoft Quantum Development Kit Samples

Densely Connected Convolutional Networks, In CVPR 2017 (Best Paper Award).

Submanifold sparse convolutional networks

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

Semantic Segmentation Architectures Implemented in PyTorch

Unofficial pytorch implementation for Self-critical Sequence Training for Image Captioning. and others.

DeepLab resnet v2 model in pytorch

Visualizations for machine learning datasets

Caffe2 is a lightweight, modular, and scalable deep learning framework.

PyTorch Implementation of Fully Convolutional Networks. (Training code to reproduce the original result is available.)