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I have a blog where I write about Data Science and share open-source tools. You can find all my articles here.

一个基于 283 万字语料统计的去 AI 味 skill · An AI-tone removal skill grounded in a 2.83-million-character corpus study

scikit-learn is a Python module for machine learning built on top of SciPy and is distributed under the 3-Clause BSD license.

There are a lot of hidden treasures lying within university pages scattered across the internet. e. assignments, lectures, notes, readings and examinations, available online for free.

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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。

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A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)

Umami is a privacy-first analytics platform. Traffic, campaigns, behavior, conversions, and revenue in one place — no cookies, no surveillance, self-hosted or in the cloud.

NumPy is the fundamental package for scientific computing with Python.

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This is a path for those of you who want to complete the Data Science undergraduate curriculum on your own time, for free, with courses from the best universities in the World.

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Open source, privacy-first web analytics. Lightweight, cookie-free Google Analytics alternative. Self-hosted or cloud.

An open-source Data Science repository to learn and apply concepts toward solving real- world problems.

Awesome Math is a curated list of high-quality resources for learning, teaching, and doing mathematics. It covers pure mathematics, applied mathematics, computation, formal proof, and the use of AI in mathematics.

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.

The series is running. 5 days after launch. It runs once a day for 30 days: days 1–10 are the baseline, then there are two 10-day windows, so the first possible call is around 2026-10-24.

Go language library for reading and writing Microsoft Excel™ (XLAM / XLSM / XLSX / XLTM / XLTX) spreadsheets

GS Quant is a Python toolkit for quantitative finance, created on top of one of the world’s most powerful risk transfer platforms.

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Introductory text for Kalman and Bayesian filters. All code is written in Python, and the book itself is written using Jupyter Notebook so that you can run and modify the code in your browser. What better way to learn?

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.

statsmodels is a Python package that provides a complement to scipy for statistical computations including descriptive statistics and estimation and inference for statistical models.

To run a benchmark, you can simply call hyperfine .... The argument(s) can be any shell command. For example:

Like any tool, data-driven technologies are indifferent to the morality of their ends. Perhaps the greatest risk of all is leaving this tool in the hands of the few expensively-educated people who cannot possibly represent all of us.

until forever. Exceptional understanding of French with the flawless accent implies correct exposure to exceptional French and flawless accent. Similarly, great AI Researchers & engineers with excellent problem-skills imply quality knowledge consumed and exposure rich experience.

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VIP cheatsheets for Stanford's CS 229 Machine Learning

> ydata-profiling is now fg-data-profiling. This package has been renamed to fg-data-profiling. Please follow the Migration Guide as soon as possible — the old package will no longer receive updates or bug fixes.