AirLLM 2.8T LLM inference with single 4GB GPU
Python - 100天从新手到大师
Official code repo for the O'Reilly Book - "Hands-On Large Language Models"
Anthropic's Interactive Prompt Engineering Tutorial
[WIP] Resources for AI engineers. Also contains supporting materials for the book AI Engineering (Chip Huyen, 2025)
FinRL®: Financial Reinforcement Learning. 🔥
All course materials for the Zero to Mastery Machine Learning and Data Science course.
[🔥updating ...] AI 自动量化交易机器人(完全本地部署) AI-powered Quantitative Investment Research Platform. 📃 online docs: https://ufund-me.github.io/Qbot ✨ :news: qbot-mini: https://github.com/Charmve/iQuant
This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. Each technique has a detailed notebook tutorial.
A Comprehensive Guide for Generative AI, Agentic AI, Multimodal AI, Physical AI Interviews. Proven Formula for multiple FAANG offers and more
Google Research
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery 🧑🔬
Examples, end-2-end tutorials and apps built using Liquid AI Foundational Models (LFM) and the LEAP SDK
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.
A latent text-to-image diffusion model
Repo to accompany my mastering LLM engineering course
NVIDIA curated collection of educational resources related to general purpose GPU programming.
Neural building blocks for speaker diarization: speech activity detection, speaker change detection, overlapped speech detection, speaker embedding
Developer Asset Hub for NVIDIA Nemotron — A one-stop resource for training recipes, usage cookbooks, datasets, and full end-to-end reference examples to build with Nemotron models
100 data puzzles for pandas, ranging from short and simple to super tricky (60% complete)
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
18 Lessons to Get Started Building AI Agents
Examples and guides for using the OpenAI API
12 Weeks, 24 Lessons, AI for All!
A collection of notebooks/recipes showcasing some fun and effective ways of using Claude.
Data Engineering Zoomcamp is a free 9-week course on building production-ready data pipelines. Join the course here 👇🏼
In-depth tutorials on LLMs, RAGs and real-world AI agent applications.
10 Weeks, 20 Lessons, Data Science for All!
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
The fastai deep learning library
A game theoretic approach to explain the output of any machine learning model.
The fastai book, published as Jupyter Notebooks
50+ tutorials and implementations for Generative AI Agent techniques, from basic conversational bots to complex multi-agent systems.
Python programs, usually short, of considerable difficulty, to perfect particular skills.
✅(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】
Learn OpenCV : C++ and Python Examples
End-to-end, code-first tutorials for building production-grade GenAI agents. From prototype to enterprise deployment.
Code for Machine Learning for Trading, 3rd edition — from data sourcing to live execution.
FinGPT: Open-Source Financial Large Language Models! Revolutionize 🔥 We release the trained model on HuggingFace.
Qwen3-VL is the multimodal large language model series developed by Qwen team, Alibaba Cloud.
The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
《统计学习方法》的代码实现
Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.
💿 Free software that works great, and also happens to be open-source Python.
One has no future if one couldn't teach themself.
Examples and guides for using the Gemini API
Sample code and notebooks for Generative AI on Google Cloud, with Gemini Enterprise Agent Platform
A collection of various deep learning architectures, models, and tips
This open-source curriculum introduces the fundamentals of Model Context Protocol (MCP) through real-world, cross-language examples in .NET, Java, TypeScript, JavaScript, Rust and Python. Designed for developers, it focuses on practical techniques for building modular, scalable, and secure AI workflows from session setup to service orchestration.
Data and code behind the articles and graphics at FiveThirtyEight
Free MLOps course from DataTalks.Club. Register here 👇🏼 to get notified about the next cohort
Offline speech recognition API for Android, iOS, Raspberry Pi and servers with Python, Java, C# and Node
Learn ML engineering for free in 4 months! Register here 👇🏼
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
Python training for business analysts and traders
Jupyter Interactive Notebook
PyTorch code and models for the DINOv2 self-supervised learning method.