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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.
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.
Open Machine Learning Course
Python framework for creating, editing, and running Noisy Intermediate-Scale Quantum (NISQ) circuits.
Lightning ⚡️ fast forecasting with statistical and econometric models.
PennyLane is an open-source quantum software platform for quantum computing, quantum machine learning, and quantum chemistry. Create meaningful quantum algorithms, from inspiration to implementation.
MLBox is a powerful Automated Machine Learning python library.
An information security preparedness tool to do adversarial simulation.
[CONTRIBUTORS WELCOME] Generalized Additive Models in Python
Junction Tree Variational Autoencoder for Molecular Graph Generation (ICML 2018)
Engine for AI/ML/Data tracking, visualization, explainability, drift detection, and dashboards for Polyaxon.
Tools for computational pathology
The first exam for code agents in the physical world: frozen robot tasks from many benchmark suites, each answered with a program and verified in a separate sandbox. Runs on Harbor.
The World's Most Comprehensive, Authoritative, and Structured Open Source Data Source Knowledge Base
ChemML is a machine learning and informatics program suite for the chemical and materials sciences.
Multi-stage Riemannian flow matching for physically valid molecular docking, with GNINA scoring, PoseBusters filtering, CLI inference, and benchmarks.