TranslatedPersonal notes on Professor Andrew Ng's machine learning course
- coursera
- machine-learning
Repository Index
65,764 visible repositories in the index
25–48 of 534 · Most stars
FCC China open source codebase and curriculum. Learn to code and help nonprofits.
:black_heart: Create and share beautiful images of your source code
- carbon
- javascript
- beautiful
- snippets
🛡️ ⚛️ A simple, scalable, and powerful architecture for building production ready React applications.
- react
- react-applications
- react-best-practice
- react-typescript
Collection of various algorithms in mathematics, machine learning, computer science and physics implemented in C++ for educational purposes.
- cpp
- algorithm
- algorithms-implemented
- data-structures
An interactive git visualization and tutorial. Aspiring students of git can use this app to educate and challenge themselves towards mastery of git!
😎 A curated list of awesome GitHub Profile which updates in real time
- awesome-list
- awesome
- github
- github-readme
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
- applied-machine-learning
- production
- applied-data-science
- machine-learning
Translatedabout learning Spring Boot via examples. Spring Boot tutorials and tech stack example code, quick and easy tutorials to get started.
- spring-boot
- spring-data-jpa
- mybatis
- thymeleaf
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
Questions to ask the company during your interview
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
- bayesian-methods
- pymc
- mathematical-analysis
- jupyter-notebook
30 Days of React challenge is a step by step guide to learn React in 30 days. These videos may help too: https://www.youtube.com/channel/UC7PNRuno1rzYPb1xLa4yktw
- challenge
- javascript
- js
- react
What are the principles we can use to build LLM-powered software that is actually good enough to put in the hands of production customers?
Translated⚡️ IPTV live source auto-update tool: automatically collects, validates, speed-tests, and generates playable results. Supports M3U/TXT/API output, custom channels, IPv4/IPv6, Docker, GitHub Actions, and multi-platform deployment via CLI and GUI
- iptv
- tvbox
- tv
- ipv4
TranslatedList of personally collected books PDF download Baidu Cloud e-book download
Translated😱 From the source code level, analyze and dig into the underlying implementation principles of mainstream technologies in the internet industry, making it convenient for developers to "improve their technical depth". Currently covers the Spring family of frameworks, the Mybatis, Netty, and Dubbo frameworks, and middleware such as Redis and Tomcat
- sourcecode-analysis
- spring
- mybatis
- netty
Collection of various algorithms in mathematics, machine learning, computer science, physics, etc implemented in C for educational purposes.
- algorithms
- data-structures
- datastructures
- c
Community guide to securing and improving privacy on macOS.
🚀 A curated collection of AI engineering resources, roadmaps, tools, and projects covering LLMs, RAG, AI Agents, MCP, fine-tuning, evaluations, and production AI systems.
- agentic-ai
- ai-agents
- ai-engineering
- ai-projects
Curated tutorial and resource links I've collected on React, Redux, ES6, and more
📊 Path to a free self-taught education in Data Science!
End-to-end, code-first tutorials for building production-grade GenAI agents. From prototype to enterprise deployment.
Translateddeeplearning.ai (course notes and resources for Teacher Andrew Ng's deep learning courses)
- deeplearning-ai