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Starred repositories
📚 Freely available programming books
Repo for counting stars and contributing. Press F to pay respect to glorious developers.
All Algorithms implemented in Python
Python - 100天从新手到大师
This repo includes ChatGPT prompt curation to use ChatGPT and other LLM tools better.
Microsoft PowerToys is a collection of utilities that help you customize Windows and streamline everyday tasks
✨ Light and Fast AI Assistant. Support: Web | iOS | MacOS | Android | Linux | Windows
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
A curated list of awesome Machine Learning frameworks, libraries and software.
A topic-centric list of HQ open datasets.
为GPT/GLM等LLM大语言模型提供实用化交互接口，特别优化论文阅读/润色/写作体验，模块化设计，支持自定义快捷按钮&函数插件，支持Python和C++等项目剖析&自译解功能，PDF/LaTex论文翻译&总结功能，支持并行问询多种LLM模型，支持chatglm3等本地模型。接入通义千问, deepseekcoder, 讯飞星火, 文心一言, llama2, rwkv, claude2, m…
Python Data Science Handbook: full text in Jupyter Notebooks
这是一个用于显示当前网速、CPU及内存利用率的桌面悬浮窗软件，并支持任务栏显示，支持更换皮肤。
翻墙、免费翻墙、免费科学上网、免费节点、免费梯子、免费ss/v2ray/trojan节点、蓝灯、谷歌商店、翻墙梯子
清华大学计算机系课程攻略 Guidance for courses in Department of Computer Science and Technology, Tsinghua University
Extremely fast Query Engine for DataFrames, written in Rust
🔥LeetCode solutions in any programming language | 多种编程语言实现 LeetCode、《剑指 Offer（第 2 版）》、《程序员面试金典（第 6 版）》题解
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow
😘 让你“爱”上 GitHub，解决访问时图裂、加载慢的问题。（无需安装）
A game theoretic approach to explain the output of any machine learning model.
基于 ChatGPT API 的划词翻译浏览器插件和跨平台桌面端应用 - Browser extension and cross-platform desktop application for translation based on ChatGPT API.
Latex code for making neural networks diagrams
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
哔哩下载姬downkyi，哔哩哔哩网站视频下载工具，支持批量下载，支持8K、HDR、杜比视界，提供工具箱（音视频提取、去水印等）。
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
One second to read GitHub code with VS Code.