Tensors and Dynamic neural networks in Python with strong GPU acceleration

End-to-end solution for enabling on-device AI across mobile and edge devices for PyTorch models

Run PyTorch LLMs locally on servers, desktop and mobile

An end-to-end PyTorch framework for image and video classification

Continuous builder and binary build scripts for pytorch

Model interpretability and understanding for PyTorch

TensorFlow's Visualization Toolkit

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

Jenkins job definitions for OSSCI

Fast, modular reference implementation of Semantic Segmentation and Object Detection algorithms in PyTorch.

Computation using data flow graphs for scalable machine learning

R(2+1)D and Mixed-Convolutions for Action Recognition.

The caffe2 website.

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

Open Neural Network Exchange

A flexible tool for creating, organizing, and sharing visualizations of live, rich data. Supports Torch and Numpy.

Some run data written by tensorboardX which can be consumed by TensorBoard

Start Tensorboard in Jupyter Notebook

Copy commits between repositories - git => git, git => hg, hg => hg, or hg => git

A highly efficient and modular implementation of Gaussian Processes in PyTorch

Collective communications library with various primitives for multi-machine training.

ATen: A TENsor library for C++11

A repository for storing pre-trained Caffe2 models.

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