Stars
Understand Human Behavior to Align True Needs
🤯 LobeHub - an open-source, modern design AI Agent Workspace. Supports multiple AI providers, Knowledge Base (file upload / RAG ), one click install MCP Marketplace and Artifacts / Thinking. One-cl…
A one stop repository for generative AI research updates, interview resources, notebooks and much more!
A natural language interface for computers
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
A curated list of awesome Machine Learning frameworks, libraries and software.
深度学习入门课、资深课、特色课、学术案例、产业实践案例、深度学习知识百科及面试题库The course, case and knowledge of Deep Learning and AI
😎 Awesome lists about all kinds of interesting topics
Individual collecting material of learning git（有关 git 的学习资料）
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
A curated list of high quality coding style conventions and standards.
Most popular Mocking framework for unit tests written in Java
Collection of publicly available IPTV channels from all over the world
刷算法全靠套路，认准 labuladong 就够了！English version supported! Crack LeetCode, not only how, but also why.
🌟 [My TouchBar My rules]. The Touch Bar Customisation App for your MacBook Pro
Stream Processing with Apache Flink - Scala Examples
专注大数据学习面试，大数据成神之路开启。Flink/Spark/Hadoop/Hbase/Hive...
An opinionated list of awesome Python frameworks, libraries, software and resources.
Design patterns implemented in Java
Efficient Graph Algorithms for Neo4j
A distributed, fast open-source graph database featuring horizontal scalability and high availability
A curated list of resources for graph databases and graph computing tools
A community driven list of useful Emacs packages, libraries and other items.
knowledge repository managed with org-mode and org-roam.
Next-generation ORM for Node.js & TypeScript | PostgreSQL, MySQL, MariaDB, SQL Server, SQLite, MongoDB and CockroachDB
A roadmap connecting many of the most important concepts in machine learning, how to learn them and what tools to use to perform them.