Repository Index

12 Weeks, 24 Lessons, AI for All!

• deep-learning
• artificial-intelligence
• machine-learning
• ai

Python Data Science Handbook: full text in Jupyter Notebooks

• scikit-learn
• numpy
• python
• jupyter-notebook

Learn how to develop, deploy and iterate on production-grade ML applications.

• machine-learning
• deep-learning
• pytorch
• natural-language-processing

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.

• agents
• ai
• llms
• machine-learning

Google Research

• machine-learning
• ai
• research

CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

• deep-learning
• machine-learning

This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. Each technique has a detailed notebook tutorial.

• rag
• tutorials
• langchain
• llama-index

Official code repo for the O'Reilly Book - "Hands-On Large Language Models"

• artificial-intelligence
• book
• large-language-models
• llm

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 deep learning library

• deep-learning
• machine-learning
• pytorch
• python

A game theoretic approach to explain the output of any machine learning model.

• interpretability
• machine-learning
• deep-learning
• gradient-boosting

⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 or handson-mlp instead.

• tensorflow
• scikit-learn
• machine-learning
• python

The fastai book, published as Jupyter Notebooks

• notebooks
• fastai
• deep-learning
• machine-learning

Neural Networks: Zero to Hero

🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained

• python
• jupyter
• jupyter-notebook
• machine-learning

50+ tutorials and implementations for Generative AI Agent techniques, from basic conversational bots to complex multi-agent systems.

• agents
• genai
• tutorials
• langchain

✅（已完结）超级全面的 深度学习 笔记【土堆 Pytorch】【李沐 动手学深度学习】【吴恩达 深度学习】【大飞 大模型Agent】

• book
• chinese
• computer-vision
• deep-learning

Audiocraft is a library for audio processing and generation with deep learning. It features the state-of-the-art EnCodec audio compressor / tokenizer, along with MusicGen, a simple and controllable music generation LM with textual and melodic conditioning.

Learn OpenCV : C++ and Python Examples

• computer-vision
• machine-learning
• ai
• deep-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

End-to-end, code-first tutorials for building production-grade GenAI agents. From prototype to enterprise deployment.

• agent
• agent-framework
• agents
• ai-agents

pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行

• pytorch
• pytorch-tutorials
• pytorch-handbook
• deep-learning

Code for Machine Learning for Trading, 3rd edition — from data sourcing to live execution.

• machine-learning
• trading
• investment
• finance