OPENAGENTSKILL / DIRECTORY
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1–16 / 18
Candidates in this shortlist, not the full registry. GitHub stars belong to repositories, not individual skills.
Results: 18
labmlai
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (ad…
NVIDIA
A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference appl…
raiyanyahya
Build a modern LLM from scratch. Every line commented. Explained like we are five.
lightgbm-org
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and…
huggingface
🤗 The largest hub of ready-to-use datasets for AI models with fast, easy-to-use and efficient data manipulation tools
alibaba
MNN: A blazing-fast, lightweight inference engine battle-tested by Alibaba, powering high-performance on-device LLMs and Edge AI.
NVlabs
Instant neural graphics primitives: lightning fast NeRF and more
catboost
A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python,…
h2oai
H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeli…
mlpack
mlpack: a fast, header-only C++ machine learning library
Nixtla
Lightning ⚡️ fast forecasting with statistical and econometric models.
microsoft
A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.