Dev
GitHub repos gaining traction - what high-signal users are starring and what's climbing the board, captured daily and enriched from GitHub. Raw material for spotting new tech and patterns worth building on.
1,506
repos tracked
261
surfaced this week
215
created < 30d
Python
top language
59 repos
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🛰 A loupe for your agents — a real-time Mission-Control dashboard and workspace for AI coding agents, across every provider and every project on your machine
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High-Performance Symbolic Regression in Python and Julia
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Docs of the Hugging Face Hub
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Tensors and Dynamic neural networks in Python with strong GPU acceleration
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JAX in JavaScript – ML library for the web, running on WebGPU & Wasm
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Open Machine Learning Compiler Framework
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🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
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AIDE: AI-Driven Exploration in the Space of Code. The machine Learning engineering agent that automates AI R&D.
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A new open-source format for interactive video on the web, with a built-in state machine, frame-accurate transitions, and packed-alpha transparency.
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Open ABI and FFI for Machine Learning Systems
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Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
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Tinker feedback tracker
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nnScaler: Compiling DNN models for Parallel Training
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Proceedings of the Institute for a Christian Machine Intelligence
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Gula Vectors: Gluttony Can Increase Compute Consumption — code, data & reproducibility package for ICMI Working Paper No. 27
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Machine Learning Research Homepage
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Post-training with Tinker
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Julia bindings for the Enzyme automatic differentiator
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The official CLI and Python client for the Hugging Face Hub.
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The "Python Machine Learning (1st edition)" book code repository and info resource
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Machine Learning Engineering Open Book
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MLT & AI Communities
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Tensor library for machine learning
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Use Hugging Face with JavaScript
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Competing Risks and Survival Analysis
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Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as online, hashing, allreduce, reductions, learning2search, active, and interactive learning.
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scikit-learn: machine learning in Python
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Synthetic data curation for post-training and structured data extraction
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🚀 Efficient implementations for emerging model architectures
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Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
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The fastai deep learning library
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Run GLM-5.2 (744B MoE) on a 25GB-RAM consumer machine — pure C, zero deps, experts streamed from disk. Tiny engine, immense model. 🐦
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Darwin Gödel Machine: Open-Ended Evolution of Self-Improving Agents
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Create virtual machines and run Linux-based operating systems in Go using Apple Virtualization.framework.
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Elixir State machine thin layer for structs
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The P programming language.
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MACE - Fast and accurate machine learning interatomic potentials with higher order equivariant message passing.
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The State of AI Report is an annual compilation and analysis of the most interesting insights in AI. Our aim is to trigger an informed conversation about the state of AI and its implication for the future. The Report is produced by AI investors Nathan Benaich and Ian Hogarth.
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Proceedings of Machine Learning for Healthcare 2019
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Research-focused C++23 physics engine for robotics, animation, and machine learning, with Python bindings
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Distributed High-Performance Symbolic Regression in Julia
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A tool for creating and running Linux containers using lightweight virtual machines on a Mac. It is written in Swift, and optimized for Apple silicon.
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A tutorial on modern GPU programming for machine learning systems
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High-Performance Symbolic Regression in Python and Julia
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scikit-learn: machine learning in Python
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Community extensions for TabPFN - the foundation model for tabular data. Built with TabPFN! 🤗
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scikit-learn: machine learning in Python
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Refiner by Macrodata Labs, a data processing framework for Machine Learning large scale datasets
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TensorZero is an open-source LLMOps platform that unifies an LLM gateway, observability, evaluation, optimization, and experimentation.
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Production-Grade Autoresearch. Ideal for GPU kernels, ML model development, feature engineering, prompt engineering, and other optimizable code.