Python is a dynamically typed programming language designed by Guido Van Rossum. Much like the programming language Ruby, Python was designed to be easily read by programmers. Because of its large following and many libraries, Python can be implemented and used to do anything from webpages to scientific research.
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
Curated list of project-based tutorials
An opinionated list of awesome Python frameworks, libraries, software and resources.
All Algorithms implemented in Python
An Open Source Machine Learning Framework for Everyone
:books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计
AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matter...
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both i...
:octocat: 分享 GitHub 上有趣、入门级的开源项目。Share interesting, entry-level open source projects on GitHub.
Coding articles to level up your development skills
:books: 免费的计算机编程类中文书籍,欢迎投稿
Production-ready platform for agentic workflow development.
Magnificent app which corrects your previous console command.
Tensors and Dynamic neural networks in Python with strong GPU acceleration
FastAPI framework, high performance, easy to learn, fast to code, ready for production
The Web framework for perfectionists with deadlines.
:house_with_garden: Open source home automation that puts local control and privacy first.
Linux, Jenkins, AWS, SRE, Prometheus, Docker, Python, Ansible, Git, Kubernetes, Terraform, OpenStack, SQL, NoSQL, Azure, GCP, DNS, Elastic, Network, V...
Animation engine for explanatory math videos
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
《动手学深度学习》:面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。
The Python micro framework for building web applications.
Hunt down social media accounts by username across social networks
Apache Superset is a Data Visualization and Data Exploration Platform
Ansible is a radically simple IT automation platform that makes your applications and systems easier to deploy and maintain. Automate everything from...
Deep Learning for humans
scikit-learn: machine learning in Python
💻 A fully functional local AWS cloud stack. Develop and test your cloud & Serverless apps offline
Iconic font aggregator, collection, & patcher. 3,600+ icons, 50+ patched fonts: Hack, Source Code Pro, more. Glyph collections: Font Awesome, Material...
Scrapy, a fast high-level web crawling & scraping framework for Python.
《代码随想录》LeetCode 刷题攻略:200道经典题目刷题顺序,共60w字的详细图解,视频难点剖析,50余张思维导图,支持C++,Java,Python,Go,JavaScript等多语言...
LeetCode Solutions: A Record of My Problem Solving Journey.( leetcode题解,记录自己的leetcode解题之路。)
Clone a voice in 5 seconds to generate arbitrary speech in real-time
The world's simplest facial recognition api for Python and the command line
A simple, yet elegant, HTTP library.
Rich is a Python library for rich text and beautiful formatting in the terminal.
A youtube-dl fork with additional features and fixes
30 days of Python programming challenge is a step-by-step guide to learn the Python programming language in 30 days. This challenge may take more than...
100 Days of ML Coding
🚀 Awesome list of open source applications for macOS. https://t.me/s/opensourcemacosapps
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
An extremely fast Python linter and code formatter, written in Rust.
Simple Python version management
The official gpt4free repository | various collection of powerful language models
坚持分享 GitHub 上高质量、有趣实用的开源技术教程、开发者工具、编程网站、技术资讯。A list cool, interesting projects of GitHub.
Learn how to design, develop, deploy and iterate on production-grade ML applications.
Apache Spark - A unified analytics engine for large-scale data processing
🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production
Developer-first error tracking and performance monitoring
Streamlit — A faster way to build and share data apps.