A Python-embedded DSL that makes it easy to write fast, scalable ML kernels with minimal boilerplate.

A Python-level JIT compiler designed to make unmodified PyTorch programs faster.

Tensorflow Backend for ONNX

The Tensor Algebra SuperOptimizer for Deep Learning

A thin, highly portable toolkit for efficiently compiling dense loop-based computation.

Acceleration package for neural networks on multi-core CPUs

💥 Fast matrix-multiplication as a self-contained Python library – no system dependencies!

BLAS-like Library Instantiation Software Framework

A Python bytecode compiler and bytecode generator.

Python cross version bytecode/wordcode assembler

A Python implementation of the C Python Interpreter

This is Meta's fork of the CPython runtime. The name "cinder" here is historical, see https://github.com/facebookincubator/cinderx for the Python extension / JIT compiler.

STOKE: A stochastic superoptimizer and program synthesizer

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

Development repository for the Triton language and compiler

The uncompromising Python code formatter

Starlark Language

Jittor is a high-performance deep learning framework based on JIT compiling and meta-operators.

Sampling profiler for Python programs

Benchmark framework to easily compare Bayesian optimization methods on real machine learning tasks

Crawl GitHub APIs and store the discovered orgs, repos, commits, ...

Open With add-on for Firefox

Dockerfile for LanguageTool

Cast macOS and Linux Audio/Video to your Google Cast and Sonos Devices

Chromecast Web Sender SDK implementation for Firefox

GPU-accelerated Factors analysis library and Backtester