OPENAGENTSKILL / DIRECTORY
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1–16 / 87
Candidates in this shortlist, not the full registry. GitHub stars belong to repositories, not individual skills.
Results: 87
donnemartin
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumP…
huggingface
🤗 The largest hub of ready-to-use datasets for AI models with fast, easy-to-use and efficient data manipulation tools
alexeygrigorev
Data science interview questions and answers
drivendataorg
A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.
amark
An open source cybersecurity protocol for syncing decentralized graph data.
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…
lance-format
Open Lakehouse Format for Multimodal AI. Convert from Parquet in 2 lines of code for 100x faster random access, vector index, and data versioning. Compatible with Pandas…
vaexio
Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualization and exploration of big tabular data at a billion rows per second 🚀
Eventual-Inc
High-performance data engine for AI and multimodal workloads. Process images, audio, video, and structured data at any scale
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…
kedro-org
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…
microsoft
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
