Qlib is an AI-oriented Quant investment platform that aims to use AI tech to empower Quant Research, from exploring ideas to implementing productions. Qlib supports diverse ML modeling paradigms, including supervised learning, market dynamics modeling, and RL, and is now equipped with https://github.com/microsoft/RD-Agent to automate R&D process.
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Streamlit — A faster way to build and share data apps.
A reactive notebook for Python — run reproducible experiments, query with SQL, execute as a script, deploy as an app, and version with git. Stored as pure Python. All in a modern, AI-native editor.
Machine Learning Engineering Open Book
🦉 Data Versioning and ML Experiments
A MNIST-like fashion product database. Benchmark :point_down:
A deep learning toolkit for healthcare AI: EHR (MIMIC, eICU, OMOP), clinical text, signals and imaging. 30+ models, reproducible pipelines.
Molecular Sets (MOSES): A Benchmarking Platform for Molecular Generation Models
Maze Applied Reinforcement Learning Framework
A Single Library Parser to extract meta information,static analysis and detect macros within the files.