1.lyogavin / airllm
AirLLM 2.8T LLM inference with single 4GB GPU
- chinese-nlp
- finetune
- generative-ai
- instruct-gpt
- instruction-set
- llama
- +7 more
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AirLLM 2.8T LLM inference with single 4GB GPU
TranslatedDive into LLMs: a series of hands-on programming tutorials
12 Weeks, 24 Lessons, AI for All!
18 Lessons to Get Started Building AI Agents
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
21 Lessons, Get Started Building with Generative AI
In-depth tutorials on LLMs, RAGs and real-world AI agent applications.
TranslatedPython - 100 Days from Novice to Master
A collection of notebooks/recipes showcasing some fun and effective ways of using Claude.
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
One has no future if one couldn't teach themself.
Data Engineering Zoomcamp is a free 9-week course on building production-ready data pipelines. Join the course here 👇🏼
Translated📚 Building large models from scratch
Official code repo for the O'Reilly Book - "Hands-On Large Language Models"
Examples and guides for using the OpenAI API
This is a repo with links to everything you'd ever want to learn about data engineering
A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API
Anthropic's Interactive Prompt Engineering Tutorial
10 Weeks, 20 Lessons, Data Science for All!
Code for Machine Learning for Trading, 3rd edition — from data sourcing to live execution.
[WIP] Resources for AI engineers. Also contains supporting materials for the book AI Engineering (Chip Huyen, 2025)
This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. Each technique has a detailed notebook tutorial.
仅需Python基础,从0构建自己的具身智能机器人;从0逐步构建VLA/OpenVLA/SmolVLA/Pi0, 深入理解具身智能
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
Optimize prompts, code, and more with AI-powered Reflective Optimization
Translated"开源大模型食用指南" (Open-Source Large Model Usage Guide): a tutorial tailor-made for Chinese users on quickly fine-tuning (full-parameter/LoRA) and deploying domestic and international open-source large language models (LLM) and multimodal large models (MLLM) in a Linux environment
50+ tutorials and implementations for Generative AI Agent techniques, from basic conversational bots to complex multi-agent systems.
Translated✅ (Completed) Super comprehensive deep learning notes [Tudui PyTorch] [Li Mu Dive into Deep Learning] [Andrew Ng Deep Learning] [Dafei LLM Agent]
FinRL®: Financial Reinforcement Learning. 🔥
Learn ML engineering for free in 4 months! Register here 👇🏼
Learn how to develop, deploy and iterate on production-grade ML applications.
Complex code hides connections, workflows, and business risks.Unvibe complex code. Trace business workflows.
Python Data Science Handbook: full text in Jupyter Notebooks
Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.
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.
Google Research
TranslatedAISystem mainly refers to AI systems, covering the full stack of underlying AI technologies, including AI chips, AI compilers, and AI inference and training frameworks
End-to-end, code-first tutorials for building production-grade GenAI agents. From prototype to enterprise deployment.
The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery 🧑🔬
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.
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.
Translated[🔥updating ...] AI automated quantitative trading robot (fully local deployment) AI-powered Quantitative Investment Research Platform. 📃 online docs: https://ufund-me.github.io/Qbot ✨ :news: qbot-mini: https://github.com/Charmve/iQuant
Reference PyTorch implementation and models for DINOv3
TranslatedThis project is a tutorial on developing large model applications, aimed at beginner developers. Read it online at: https://datawhalechina.github.io/llm-universe/
FinGPT: Open-Source Financial Large Language Models! Revolutionize 🔥 We release the trained model on HuggingFace.
Anthropic's educational courses
Qwen3-VL is the multimodal large language model series developed by Qwen team, Alibaba Cloud.
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
A latent text-to-image diffusion model
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.
Python training for business analysts and traders
Free MLOps course from DataTalks.Club. Register here 👇🏼 to get notified about the next cohort
A simple screen parsing tool towards pure vision based GUI agent
TranslatedAn introductory LLM tutorial for developers, the Chinese version of Andrew Ng's large model course series
A High-Quality Real Time Upscaler for Anime Video
Examples and guides for using the Gemini API
Neural building blocks for speaker diarization: speech activity detection, speaker change detection, overlapped speech detection, speaker embedding
Companion webpage to the book "Mathematics For Machine Learning"
TranslatedChinese tutorial on reinforcement learning (Mushroom Book 🍄), read online at: https://datawhalechina.github.io/easy-rl/
Sample code and notebooks for Generative AI on Google Cloud, with Gemini platform
Practice your pandas skills!
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.
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
PyTorch code and models for the DINOv2 self-supervised learning method.
TranslatedLangGPT: Empowering everyone to become a prompt expert! 🚀 📌 Proposer of Structured Prompt 📌 Initiator of Meta-Prompt 📌 The most popular paradigm for putting prompts into practice | Language of GPT The pioneering framework for structured & meta-prompt design 10,000+ ⭐ | Battle-tested by thousands of users worldwide Created by 云中江树 (Yunzhong Jiangshu, "river and trees amid the clouds")
The fastai book, published as Jupyter Notebooks
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
Dive into this repository, a comprehensive resource covering Data Structures, Algorithms, 450 DSA by Love Babbar, Striver DSA sheet, Apna College DSA Sheet, and FAANG Questions! 🚀 That's not all! We've got Technical Subjects like Operating Systems, DBMS, SQL, Computer Networks, and Object-Oriented Programming, all waiting for you.
TranslatedDeep Learning Tutorial, excellent articles
Evidently is an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.
Offline speech recognition API for Android, iOS, Raspberry Pi and servers with Python, Java, C# and Node
12 Weeks, 24 Lessons, IoT for All!
Course Files for Complete Python 3 Bootcamp Course on Udemy
Learn OpenCV : C++ and Python Examples
A game theoretic approach to explain the output of any machine learning model.
Automatic extraction of relevant features from time series:
💿 Free software that works great, and also happens to be open-source Python.
The fastai deep learning library
🦙 LaMa Image Inpainting, Resolution-robust Large Mask Inpainting with Fourier Convolutions, WACV 2022
Translated"Lee Hung-yi's Deep Learning Tutorial" (recommended by Professor Hung-yi Lee 👍, the Apple Book 🍎), PDF download address: https://github.com/datawhalechina/leedl-tutorial/releases
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
This repository contains implementations and illustrative code to accompany DeepMind publications
A guidance language for controlling large language models.
Get started with building Fullstack Agents using Gemini 2.5 and LangGraph
Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything
The repository host gives no description.
Lists of company wise questions available on leetcode premium. Every csv file in the companies directory corresponds to a list of questions on leetcode for a specific company based on the leetcode company tags. Updated as of May, 2022.
YSDA course in Natural Language Processing
The repository host gives no description.
A hands-on introduction to video technology: image, video, codec (av1, vp9, h265) and more (ffmpeg encoding). Translations: 🇺🇸 🇨🇳 🇯🇵 🇮🇹 🇰🇷 🇷🇺 🇧🇷 🇪🇸
Your new Mentor for Data Science E-Learning.
TranslatedThe pytorch handbook is an open-source book that aims to help friends who want to use PyTorch for deep learning development and research get started quickly. All of the PyTorch tutorials it contains have been tested to ensure they run successfully.
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 or handson-mlp instead.
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.