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.
3,195
repos tracked
105
surfaced this week
193
created < 30d
Python
top language
58 repos
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TabICLv2: An open tabular foundation model
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scikit-learn: machine learning in Python
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Tensor library for machine learning
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MathVista: data, code, and evaluation for Mathematical Reasoning in Visual Contexts
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An interactive HTML pretty-printer for machine learning research in IPython notebooks.
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Tensors and Dynamic neural networks in Python with strong GPU acceleration
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Open ABI and FFI for Machine Learning Systems
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The Julia Programming Language
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DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
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Implement a reasoning LLM in PyTorch from scratch, step by step
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Autoresearch agents that improve your benchmark: independent re-measurement, enforced budgets, results as pull requests
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Docs of the Hugging Face Hub
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Machine Learning Engineering Open Book
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Open Machine Learning Compiler Framework
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Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
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JAX in JavaScript – ML library for the web, running on WebGPU & Wasm
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Backend that powers the dataset viewer on Hugging Face dataset pages through a public API.
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declarative self-improving language-model programs for Elixir 😇
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Hosting the scikit-learn blog.
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Use Hugging Face with JavaScript
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Machine learning with dataframes
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A scikit-learn compatible neural network library that wraps PyTorch
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Distributed High-Performance Symbolic Regression in Julia
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Symbolic Learning in Python and Julia
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The Modular Platform (includes MAX & Mojo)
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Track your Data Science. Skore's open-source Python library accelerates ML model development with automated evaluation reports, smart methodological guidance, and comprehensive cross-validation analysis.
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The official CLI and Python client for the Hugging Face Hub.
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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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Message Passing Neural Networks for Molecule Property Prediction
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Tangle is a web app that allows the users to build and run Machine Learning pipelines without having to set up development environment.
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A library of extension and helper modules for Python's data analysis and machine learning libraries.
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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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Calibrated 151M Non-Autoregressive Decision Engine beating TypeSafe Jev & Laya on LocalLLaMA/typed-decisions (77.10% acc, 0.0636 Brier, 0.0144 ECE)
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JevBench by Benchmark Heaven: benchmark and leaderboard for AI decision models, measuring typed decision accuracy, calibration, latency and cost.
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JAX/Equinox implementation of ProteinMPNN and LigandMPNN for protein sequence design
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Visualizer for neural network, deep learning and machine learning models
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★ 6.5k dair-ai/Mathematics-for-ML🧮 A collection of resources to learn mathematics for machine learning
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The fastai deep learning library
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Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/
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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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The AI Compute Platform for frontier teams. SkyPilot turns fragmented AI compute into one AI supercomputer, so frontier AI teams build custom intelligence faster.
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A retargetable MLIR-based machine learning compiler and runtime toolkit.
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AIDE: an LLM agent for machine learning engineering - the research Weco grew out of. Referenced in OpenAI MLE-bench.
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nnScaler: Compiling DNN models for Parallel Training
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Julia bindings for the Enzyme automatic differentiator
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The "Python Machine Learning (1st edition)" book code repository and info resource
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MLT & AI Communities
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Competing Risks and Survival Analysis
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Synthetic data curation for post-training and structured data extraction
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🚀 Efficient implementations for emerging model architectures