patchy631 / ai-engineering-hub
In-depth tutorials on LLMs, RAGs and real-world AI agent applications.
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1–100 of 198 by Attention Score · Oct 27, 2026 – Nov 2, 2026 (UTC)
In-depth tutorials on LLMs, RAGs and real-world AI agent applications.
One has no future if one couldn't teach themself.
AirLLM 2.8T LLM inference with single 4GB GPU
Complex code hides connections, workflows, and business risks.Unvibe complex code. Trace business workflows.
18 Lessons to Get Started Building AI Agents
21 Lessons, Get Started Building with Generative AI
A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
This is a repo with links to everything you'd ever want to learn about data engineering
A collection of notebooks/recipes showcasing some fun and effective ways of using Claude.
WeVisOne-VL is a powerful VLM by the WeChat Vision Team at Tencent, unifying object-level and pixel-level perception from points and boxes to masks and alpha mattes.
Anthropic's Interactive Prompt Engineering Tutorial
12 Weeks, 24 Lessons, AI for All!
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
Data Engineering Zoomcamp is a free 9-week course on building production-ready data pipelines. Join the course here 👇🏼
10 Weeks, 20 Lessons, Data Science for All!
This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. Each technique has a detailed notebook tutorial.
[WIP] Resources for AI engineers. Also contains supporting materials for the book AI Engineering (Chip Huyen, 2025)
FinRL®: Financial Reinforcement Learning. 🔥
The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery 🧑🔬
Code for Machine Learning for Trading, 3rd edition — from data sourcing to live execution.
Python Data Science Handbook: full text in Jupyter Notebooks
50+ tutorials and implementations for Generative AI Agent techniques, from basic conversational bots to complex multi-agent systems.
Examples and guides for using the OpenAI API
《开源大模型食用指南》针对中国宝宝量身打造的基于Linux环境快速微调(全参数/Lora)、部署国内外开源大模型(LLM)/多模态大模型(MLLM)教程
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
Official code repo for the O'Reilly Book - "Hands-On Large Language Models"
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.
Learn how to develop, deploy and iterate on production-grade ML applications.
✅(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】
Google Research
AISystem 主要是指AI系统,包括AI芯片、AI编译器、AI推理和训练框架等AI全栈底层技术
Learn ML engineering for free in 4 months! Register here 👇🏼
Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.
Python training for business analysts and traders
A simple screen parsing tool towards pure vision based GUI agent
本项目是一个面向小白开发者的大模型应用开发教程,在线阅读地址:https://datawhalechina.github.io/llm-universe/
FinGPT: Open-Source Financial Large Language Models! Revolutionize 🔥 We release the trained model on HuggingFace.
Neural building blocks for speaker diarization: speech activity detection, speaker change detection, overlapped speech detection, speaker embedding
Qwen3-VL is the multimodal large language model series developed by Qwen team, Alibaba Cloud.
End-to-end, code-first tutorials for building production-grade GenAI agents. From prototype to enterprise deployment.
高校生向けLLM教材: Karpathy microgptベース,Google Colab用
[🔥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
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.
LangGPT: Empowering everyone to become a prompt expert! 🚀 📌 结构化提示词(Structured Prompt)提出者 📌 元提示词(Meta-Prompt)发起者 📌 最流行的提示词落地范式 | 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
Reference PyTorch implementation and models for DINOv3
Free MLOps course from DataTalks.Club. Register here 👇🏼 to get notified about the next cohort
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
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.
Anthropic's educational courses
A High-Quality Real Time Upscaler for Anime Video
Examples and guides for using the Gemini API
The fastai book, published as Jupyter Notebooks
A latent text-to-image diffusion model
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.
Sample code and notebooks for Generative AI on Google Cloud, with Gemini Enterprise Agent Platform
Offline speech recognition API for Android, iOS, Raspberry Pi and servers with Python, Java, C# and Node
PyTorch code and models for the DINOv2 self-supervised learning method.
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 fastai deep learning library
《李宏毅深度学习教程》(李宏毅老师推荐👍,苹果书🍎),PDF下载地址:https://github.com/datawhalechina/leedl-tutorial/releases
Practice your pandas skills!
面向开发者的 LLM 入门教程,吴恩达大模型系列课程中文版
Companion webpage to the book "Mathematics For Machine Learning"
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.
强化学习中文教程(蘑菇书🍄),在线阅读地址:https://datawhalechina.github.io/easy-rl/
💿 Free software that works great, and also happens to be open-source Python.
This repository contains implementations and illustrative code to accompany DeepMind publications
Performance analysis of predictive (alpha) stock factors
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
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.
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
Instructional notebooks on music information retrieval.
A game theoretic approach to explain the output of any machine learning model.
Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything
A collection of various deep learning architectures, models, and tips
MIMIC Code Repository: Code shared by the research community for the MIMIC family of databases
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
YSDA course in Natural Language Processing
Get started with building Fullstack Agents using Gemini 2.5 and LangGraph
Data and code behind the articles and graphics at FiveThirtyEight
Providing the solutions for high-frequency trading (HFT) strategies using data science approaches (Machine Learning) on Full Orderbook Tick Data.
Course Files for Complete Python 3 Bootcamp Course on Udemy
No description provided by the repository host.
🦙 LaMa Image Inpainting, Resolution-robust Large Mask Inpainting with Fourier Convolutions, WACV 2022
Flax is a neural network library for JAX that is designed for flexibility.
Quantitative analysis, strategies and backtests
TeachOpenCADD: a teaching platform for computer-aided drug design (CADD) using open source packages and data
Solve puzzles. Learn CUDA.
Foundational Models for State-of-the-Art Speech and Text Translation
This repository contains demos I made with the Transformers library by HuggingFace.