Awesome artificial intelligence (AI) and large language model (LLM) for education papers.
GitHub repository with 188 stars and 24 forks.
Language: Jupyter Notebook
Topics: artificial-intelligence, education, large-language-models, llm, llm4edu
2026-06-08: 188 stars and 24 forks.
Implement a reasoning LLM in PyTorch from scratch, step by step
GitHub repository with 4,508 stars and 662 forks.
Trending score: 2.79; stars gained: +24; forks gained: +1.
Language: Jupyter Notebook
Topics: ai, artificial-intelligence, deep-learning, large-language-models, llms, machine-learning
Companion code for Machine Learning From Scratch — 10 core ML algorithms built from scratch with NumPy, compared with Scikit-learn and PyTorch.
GitHub repository with 46 stars and 5 forks.
Trending score: 1.10; stars gained: +8; forks gained: +2.
Language: Jupyter Notebook
Topics: artificial-intelligence, data-science, deep-learning, education, from-scratch-implementation, from-scratch-in-python
Free AI/ML course with 950+ Jupyter notebooks — Python, deep learning, LLMs, RAG, agents, prompt engineering, fine-tuning, MLOps
GitHub repository with 28 stars and 21 forks.
Trending score: 0.73; stars gained: +1; forks gained: +1.
Language: Jupyter Notebook
Topics: artificial-intelligence, deep-learning, huggingface, llm, machine-learning, mlops
"Deep Learning Crash Course" is a comprehensive and up-to-date guide that takes you from simple neural networks all the way to cutting-edge deep learning architectures-no advanced math and programming required, just a basic knowledge of programming.
GitHub repository with 173 stars and 67 forks.
Trending score: 0.41; stars gained: +1; forks gained: +0.
Language: Jupyter Notebook
Topics: artificial-intelligence, course-project, deep-learning, neural-networks, python, pytorch
45+ production-ready tutorials on data science, MLOps, and AI tools. All code is executable and adaptable for real projects.
GitHub repository with 29 stars and 10 forks.
Trending score: 0.34; stars gained: +0; forks gained: +0.
Language: Jupyter Notebook
Topics: artificial-intelligence, data-engineering, data-science, langchain, llm, machine-learning
面向非科班专业学生的人工智能课程资料：课件、课堂 demo、作业说明与实践代码。
GitHub repository with 11 stars and 0 forks.
Trending score: 0.21; stars gained: +0; forks gained: +0.
Language: Jupyter Notebook
Topics: ai-course, artificial-intelligence, course-materials, demos, ai-literacy, non-cs
LLM Zoomcamp - a free online course about real-life applications of LLMs. In 10 weeks you will learn how to build an AI system that answers questions about your knowledge base.
GitHub repository with 6,354 stars and 1,130 forks.
Trending score: 3.79; stars gained: +50; forks gained: +8.
Language: Jupyter Notebook
A simple MPC controller for path tracking implemented in python
GitHub repository with 434 stars and 70 forks.
Trending score: 3.72; stars gained: +132; forks gained: +17.
Language: Jupyter Notebook
Reference PyTorch implementation and models for DINOv3
GitHub repository with 10,678 stars and 876 forks.
Trending score: 3.14; stars gained: +70; forks gained: +6.
Language: Jupyter Notebook
Implement a reasoning LLM in PyTorch from scratch, step by step
GitHub repository with 4,508 stars and 662 forks.
Trending score: 2.79; stars gained: +24; forks gained: +1.
Language: Jupyter Notebook
Topics: ai, artificial-intelligence, deep-learning, large-language-models, llms, machine-learning
Examples and guides for using the OpenAI API
GitHub repository with 74,172 stars and 12,554 forks.
Trending score: 2.74; stars gained: +17; forks gained: +5.
Language: Jupyter Notebook
Topics: chatgpt, gpt-4, openai, openai-api
Optimize prompts, code, and more with AI-powered Reflective Text Evolution
GitHub repository with 5,154 stars and 431 forks.
Trending score: 2.72; stars gained: +18; forks gained: +6.
Language: Jupyter Notebook
🙌 OpenHands: AI-Driven Development
GitHub repository with 77,176 stars and 9,803 forks.
Trending score: 4.87; stars gained: +393; forks gained: +43.
Language: Python
Topics: agent, artificial-intelligence, chatgpt, claude-ai, cli, developer-tools
Persistent Context Across Sessions for Every Agent – Captures everything your agent does during sessions, compresses it with AI, and injects relevant context back into future sessions. Works with Claude Code, OpenClaw, Codex, Gemini, Hermes, Copilot, OpenCode + More
GitHub repository with 82,433 stars and 7,128 forks.
Trending score: 4.46; stars gained: +144; forks gained: +13.
Language: JavaScript
Topics: ai, ai-agents, ai-memory, anthropic, artificial-intelligence, claude
Hivemind turns your traces into reusable skills across agents
GitHub repository with 1,191 stars and 71 forks.
Trending score: 3.65; stars gained: +39; forks gained: +4.
Language: TypeScript
Topics: ai, ai-agents, ai-memory, anthropic, artificial-intelligence, claude
Agentic AI Framework for Java Developers
GitHub repository with 10,020 stars and 2,232 forks.
Trending score: 3.45; stars gained: +80; forks gained: +23.
Language: Java
Topics: artificial-intelligence, java, spring-ai, agentic, context-engineering, multi-agent
Machine Learning Systems
GitHub repository with 24,898 stars and 2,992 forks.
Trending score: 3.08; stars gained: +29; forks gained: +2.
Language: Python
Topics: artificial-intelligence, cloud-ml, computer-systems, courseware, deep-learning, edge-machine-learning
Production-grade Rust-native trading engine with deterministic event-driven architecture
GitHub repository with 23,490 stars and 2,981 forks.
Trending score: 2.95; stars gained: +23; forks gained: +6.
Language: Rust
Topics: algorithmic-trading-engine, artificial-intelligence, crypto-trading, equity-trading, forex, futures-trading