Stars
🙃 A delightful community-driven (with 2,400+ contributors) framework for managing your zsh configuration. Includes 300+ optional plugins (rails, git, macOS, hub, docker, homebrew, node, php, python…
An extremely fast Python package and project manager, written in Rust.
A toolkit for developing and comparing reinforcement learning algorithms.
A React utility belt for function components and higher-order components.
MCP Toolbox for Databases is an open source MCP server for databases.
Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are reproducible, maintainable,…
Code for the paper "Jukebox: A Generative Model for Music"
TFDS is a collection of datasets ready to use with TensorFlow, Jax, ...
A lightweight yet powerful audio-to-MIDI converter with pitch bend detection
TorchCFM: a Conditional Flow Matching library
A swiss army knife CLI tool for interacting with Kafka, RabbitMQ and other messaging systems.
a generalist algorithm for cellular segmentation with human-in-the-loop capabilities
Open-source Rust framework for building event-driven live-trading & backtesting systems
Type annotations and runtime checking for shape and dtype of JAX/NumPy/PyTorch/etc. arrays. https://docs.kidger.site/jaxtyping/
General code to convert a trained keras model into an inference tensorflow model
Research language for array processing in the Haskell/ML family
Type annotations and dynamic checking for a tensor's shape, dtype, names, etc.
Collection of must read papers for Data Science, or Machine Learning / Deep Learning Engineer
Code for the paper "Planning with Diffusion for Flexible Behavior Synthesis"
StarDist - Object Detection with Star-convex Shapes
Attempting to make the Deep Learning Book easier to understand.
NequIP is a code for building E(3)-equivariant interatomic potentials