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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Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
Curso para aprender el lenguaje de programación Python desde cero y para principiantes. 100 clases, 44 horas en vídeo, código, proyectos y grupo de chat. Fundamentos, frontend, backend, testing, IA...
:zap: A Fast, Extensible Progress Bar for Python and CLI
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
Deezer source separation library including pretrained models.
🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.
A high-performance, zero-overhead, extensible Python compiler with built-in NumPy support
A hyperparameter optimization framework
Parallel computing with task scheduling
NumPy aware dynamic Python compiler using LLVM
Fast and Accurate ML in 3 Lines of Code
📚 Parameterize, execute, and analyze notebooks
Computing with Python functions.
Strict separation of config from code.
Asynchronous parallel SSH client library.
:chart_with_upwards_trend: Adaptive: parallel active learning of mathematical functions
Coordinate Claude, Codex and Cursor windows with shared tasks, acknowledgements, prechecks, parallel tests, source-bound proofs and independent review. Built-in skills recall lessons, simplify code and forecast work. Track progress, decisions and evidence in a bilingual local dashboard, with MCP plugins. Browse skills and verified security audits.
Python bindings for MPI
Pythonic tool for orchestrating machine-learning/high performance/quantum-computing workflows in heterogeneous compute environments.
A Python native dynamical system simulation framework in the block diagram paradigm.
Accelerate your Neural Architecture Search (NAS) through fast, reproducible and modular research.
Open-source live tracking, flight database and competition platform for soaring pilots
Hyperparameter optimization and feature selection for scikit-learn using evolutionary algorithms. A modern alternative to GridSearchCV and RandomizedSearchCV.