Turn any AI agent into an AI Scientist. The #1 Agent Skills library for science, used by 250,000+ scientists worldwide. 177 ready-to-use validated skills plus 100+ scientific databases covering biology, chemistry, medicine, and drug discovery.
The open-source AI research workbench for scientific research and agent workflows. Local-first, model-agnostic desktop app with extensible skills, MCP tools and connectors, Python/R execution and traceable artifacts for reproducible research on macOS, Windows and Linux.
Token-scale scientific discovery engine — autonomous hypothesis generation, experiment execution, and knowledge graph synthesis
本仓库包含三个面向学术科研人员的Skills，覆盖从文献阅读、论文写作到科学计算的完整研究工作流。office-academic-skill 负责论文阅读报告与学术 PPT/Word 文档生成；research-writing-skill 提供论文写作、润色与审稿回复辅助；scientific-toolkit-skill 整合 MATLAB/Python 科学计算与期刊级图表生成。三个 Skill 专为中文科研用户设计，可在 Claude Code 和 codex 中一键调用。
OpenScience is an open-source workbench for scientific research. Work through literature, data, code, experiments, and writing in the desktop app, browser workspace, or terminal.
scikit-learn is a Python module for machine learning built on top of SciPy and is distributed under the 3-Clause BSD license.
NumPy is the fundamental package for scientific computing with Python.
, OR-Tools) is an open-source, fast and portable software suite for solving combinatorial optimization problems.
Pyramid brings first-principles engines, machine-learned interatomic potentials (MLIPs), solvers and molecular dynamics into one extensible Python framework.
JAX is a Python library for accelerator-oriented array computation and program transformation, designed for high-performance numerical computing and large-scale machine learning.
Burn is a next generation tensor library and Deep Learning Framework that doesn't compromise on flexibility, efficiency and portability.
SciPy (pronounced "Sigh Pie") is an open-source software for mathematics, science, and engineering. It includes modules for statistics, optimization, integration, linear algebra, Fourier transforms, signal and image processing, ODE solvers, and more.
Language models are extraordinary at understanding intent. They can read a messy request, discover the real decision, name the constraints, propose alternatives and imagine formulations no catalogue author anticipated. But imagination is not execution.
NetworkX is a Python package for the creation, manipulation, and study of the structure, dynamics, and functions of complex networks.
libvips is a demand-driven, horizontally threaded image processing library. Compared to similar libraries, libvips runs quickly and uses little memory. 1-or-later](
Simulation platform for general-purpose robotics & embodied AI learning.
Open-source explicit finite element solver for simulating crashes, impacts, explosions, and other dynamic events.
py is an interactive, open-source, and browser-based graphing library for Python :sparkles:
AI we ❤️ open AI education. In this repo, we index and organize some of the best and most recent machine learning courses available on YouTube.
js is a JavaScript Acceleration library for GPGPU (General purpose computing on GPUs) in JavaScript for Web and Node. js automatically transpiles simple JavaScript functions into shader language and compiles them so they run on your GPU.
Taichi Lang is an open-source, imperative, parallel programming language for high-performance numerical computation.
Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
0: Kolmogorov-Arnold Networks Meet Science". You may want to quickstart with hellokan, try more examples in tutorials, or read the documentation here.
Seaborn is a Python visualization library based on matplotlib. It provides a high-level interface for drawing attractive statistical graphics.
Taskflow helps you quickly write high-performance task-parallel programs with high programming productivity. It is faster, more expressive, fewer lines of code, and easier for drop-in integration than many existing task programming libraries.
Numba is an open source, NumPy-aware optimizing compiler for Python sponsored by Anaconda, Inc. It uses the LLVM compiler project to generate machine code from Python syntax.
PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice （『飞桨』核心框架，深度学习&机器学习高性能单机、分布式训练和跨平台部署）
A high-performance, zero-overhead, extensible Python compiler with built-in NumPy support
Welcome to IPython. io and contains information on how to install, use, and contribute to the project.
Dask is a flexible parallel computing library for analytics. See documentation for more information.