Lu Fang

Open Neural Network Exchange

Tensors and Dynamic neural networks in Python with strong GPU acceleration

No description.

Docker build scripts

ONNXIFI with Facebook Extension

A high-throughput and memory-efficient inference and serving engine for LLMs

A natural language modeling framework based on PyTorch

Data manipulation and transformation for audio signal processing, powered by PyTorch

No description.

FlashMLA: Efficient Multi-head Latent Attention Kernels

Common recipes to run vLLM

Pytorch domain library for recommendation systems

Development repository for the Triton language and compiler

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

Coding assistant MCP for Claude Desktop

A framework for few-shot evaluation of language models.

Fast and memory-efficient exact attention

The simplest, fastest repository for training/finetuning medium-sized GPTs.

Open source chef cookbooks.

Facebook's IT - Client Platform Engineering tools. Some of the tools we have written to help manage our fleet of client systems.

Better front page for ci.pytorch.org than Jenkins provides

Open deep learning compiler stack for cpu, gpu and specialized accelerators

Jenkins job definitions for OSSCI

Compiler for Neural Network hardware accelerators

FB (Facebook) + GEMM (General Matrix-Matrix Multiplication) - https://code.fb.com/ml-applications/fbgemm/

Random scripts for fun

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

A set of reinforcement learning reference implementations built on caffe2.

No description.

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

ONNX models

ONNX Integration Builds

No description.

Caffe2 implementation of Open Neural Network Exchange (ONNX)

Tensors and Dynamic neural networks in Python with strong GPU acceleration