scikit-learn: machine learning in Python
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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.
A community-maintained Python framework for creating mathematical animations.
[EMNLP 2025 Demo] PDF scientific paper translation with preserved formats - 基于 AI 完整保留排版的 PDF 文档全文双语翻译，支持 Google/DeepL/Ollama/OpenAI 等服务，提供 CLI/GUI/MCP/Docker/Zotero
The fundamental package for scientific computing with Python.
An autonomous agent that conducts deep research on any data using any LLM providers
Data Apps & Dashboards for Python. No JavaScript Required.
SciPy library main repository
A computer algebra system written in pure Python
1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.
Statsmodels: statistical modeling and econometrics in Python
Open Machine Learning Course
类似按键精灵的鼠标键盘录制和自动化操作 模拟点击和键入 | automate mouse clicks and keyboard input
A Python implementation of global optimization with gaussian processes.
Qiskit is an open-source SDK for working with quantum computers at the level of extended quantum circuits, operators, and primitives.
A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning
🔩 Like builtins, but boltons. 250+ constructs, recipes, and snippets which extend (and rely on nothing but) the Python standard library. Nothing like Michael Bolton.
High-performance TensorFlow library for quantitative finance.
Astronomy and astrophysics core library
Official git repository for Biopython (originally converted from CVS)
A flexible package manager that supports multiple versions, configurations, platforms, and compilers.
Python framework for creating, editing, and running Noisy Intermediate-Scale Quantum (NISQ) circuits.
Lightning ⚡️ fast forecasting with statistical and econometric models.