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PyTorch native quantization and sparsity for training and inference
Run PyTorch LLMs locally on servers, desktop and mobile
Ocean is the in-house framework for Computer Vision (CV) and Augmented Reality (AR) applications at Meta. It is platform independent and is mainly implemented in C/C++.
On-device AI across mobile, embedded and edge for PyTorch
Benchmarks to capture important workloads.
TorchBench is a collection of open source benchmarks used to evaluate PyTorch performance.
Training PyTorch models with differential privacy
An end-to-end PyTorch framework for image and video classification
A log analyzer for CircleCI. Note that this project is now hosted at pytorch/dr-ci
Model interpretability and understanding for PyTorch
Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.
tensorboard for pytorch (and chainer, mxnet, numpy, ...)
Collective communications library with various primitives for multi-machine training.
Continuous builder and binary build scripts for pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
C++ transcripts of the Caffe2 Python tutorials and other C++ example code
Neural Style Transfer with Caffe2 on your Android phone
Demonstration of using Caffe2 inside an Android application.
Models, data loaders and abstractions for language processing, powered by PyTorch
Datasets, Transforms and Models specific to Computer Vision
A collection of pre-trained, state-of-the-art models in the ONNX format
A repository for storing pre-trained Caffe2 models.
A platform for Reasoning systems (Reinforcement Learning, Contextual Bandits, etc.)
FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.
Caffe2 is a lightweight, modular, and scalable deep learning framework.
An Open Source Machine Learning Framework for Everyone