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.
As part of model development, we evaluate our models on open research problems. We expanded these evaluations after performance on our existing mathematical evaluations saturated. Some outputs build upon earlier results produced by the models.
本人的科研经验
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.
This is a list of topic-centric public data sources in high quality. They are collected and tidied from blogs, answers, and user responses. Most of the data sets listed below are free, however, some are not.
Token-scale scientific discovery engine — autonomous hypothesis generation, experiment execution, and knowledge graph synthesis
Because the repo is large, we recommend you download only the subdirectory of interest:
We are in the process of writing a book on Mathematics for Machine Learning that motivates people to learn mathematical concepts. The book is not intended to cover advanced machine learning techniques because there are already plenty of books doing this.
Julia is a high-level, high-performance dynamic language for technical computing. org. This is the GitHub repository of Julia source code, including instructions for compiling and installing Julia, below.
To upgrade the standalone app later, rerun the installer. feynman update only refreshes installed Pi packages inside Feynman's environment; it does not replace the standalone runtime bundle itself.
An open-source Data Science repository to learn and apply concepts toward solving real- world problems.
And many more people helped on the SymPy mailing list, reported bugs, helped organize SymPy's participation in the Google Summer of Code, the Google Highly Open Participation Contest, Google Code-In, wrote and blogged about SymPy...
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.
This package provides an implementation of the inference pipeline of AlphaFold v2. For simplicity, we refer to this model as AlphaFold throughout the rest of this document.
A free-and-open-source, hardware-and-software-agnostic, minimal-cost, research-grade, motion capture system and platform for decentralized scientific research, education, and training
DeepAnalyze is the first agentic LLM for autonomous data science. 🎈你的AI数据分析师，自动分析大量数据，一键生成专业分析报告！
💿 Free software that works great, and also happens to be open-source Python.
This repository contains implementations and illustrative code to accompany DeepMind publications.
0-rc2, Mathlib, and Lake. With elan installed, fetch the mathlib cache and build the formalizations with:
Virgilio is an open-source initiative, aiming to mentor and guide anyone in the world of the Data Science.
Seaborn is a Python visualization library based on matplotlib. It provides a high-level interface for drawing attractive statistical graphics.
lean). The argument is that of Frey, Serre, Ribet, Wiles and Taylor-Wiles. md names each step and the Lean theorem that carries it, and the html/ folder presents the whole proof as web pages you can browse offline (see "Reading the proof in a browser" below).
---- This is the data repository for the 2019 Novel Coronavirus Visual Dashboard operated by the Johns Hopkins University Center for Systems Science and Engineering (JHU CSSE).
A 3D fruit fly that lives on your macOS desktop, with spiking simulations built from FlyWire brain wiring and the MaleCNS brain-to-leg network. It combines identified neural circuits with modeled senses, joints and behavior.
This project has not provided a description yet.
The 2024 iPad Pro, featuring the Apple M4 chip, is the first device available to the public that supports ARM's scalable matrix extension (SME). Although Apple has included a matrix accelerator in its devices since 2019, it used a proprietary instruction set called AMX[^1].
0. 4; a feature check shows a notice instead of loading experiments when required capabilities are unavailable. Narration recordings are stored in Git LFS, so install it before cloning.
The compiled paper beside the experiment trace, every highlighted number resolving to the run that produced it.
An agent-actionable scaffold that externalizes operational expertise so AI agents can reliably run, check, and extend process-based scientific models.