Python - 100天从新手到大师
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47,133 repositories indexed
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21 Lessons, Get Started Building with Generative AI
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
- ml
- data-science
- machine-learning
- machine-learning-algorithms
18 Lessons to Get Started Building AI Agents
- agentic-ai
- agentic-framework
- agentic-rag
- ai-agents
Examples and guides for using the OpenAI API
12 Weeks, 24 Lessons, AI for All!
《动手学大模型Dive into LLMs》系列编程实践教程
A collection of notebooks/recipes showcasing some fun and effective ways of using Claude.
Python Data Science Handbook: full text in Jupyter Notebooks
Learn how to develop, deploy and iterate on production-grade ML applications.
Data Engineering Zoomcamp is a free 9-week course on building production-ready data pipelines. Join the course here 👇🏼
This is a repo with links to everything you'd ever want to learn about data engineering
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
- tensorflow
- tutorial
- examples
- deep-learning
In-depth tutorials on LLMs, RAGs and real-world AI agent applications.
Anthropic's Interactive Prompt Engineering Tutorial
10 Weeks, 20 Lessons, Data Science for All!
📚 从零开始构建大模型
This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. Each technique has a detailed notebook tutorial.
Official code repo for the O'Reilly Book - "Hands-On Large Language Models"
This repository is maintained by Omar Santos (@santosomar) and includes thousands of resources related to ethical hacking, bug bounties, digital forensics and incident response (DFIR), AI security, vulnerability research, exploit development, reverse engineering, and more. 🔥 Also check: https://hackertraining.org
- hacking
- penetration-testing
- hacking-series
- cybersecurity
The fastai book, published as Jupyter Notebooks
- notebooks
- fastai
- deep-learning
- machine-learning
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
50+ tutorials and implementations for Generative AI Agent techniques, from basic conversational bots to complex multi-agent systems.