patchy631 / ai-engineering-hub
In-depth tutorials on LLMs, RAGs and real-world AI agent applications.
patchy631 / ai-engineering-hub
Lordog / dive-into-llms
《动手学大模型Dive into LLMs》系列编程实践教程
jyotipmahes / ML-Interview-Prep
A Jupyter notebook collection of from-scratch ML algorithm implementations and interview prep for machine learning engineer roles.
Tencent / WeVisOne-VL
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.
anthropics / claude-cookbooks
A collection of notebooks/recipes showcasing some fun and effective ways of using Claude.
xiaolai / the-craft-of-selfteaching
One has no future if one couldn't teach themself.
karpathy / nn-zero-to-hero
Neural Networks: Zero to Hero
anthropics / prompt-eng-interactive-tutorial
Anthropic's Interactive Prompt Engineering Tutorial
microsoft / ML-For-Beginners
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
DataTalksClub / data-engineering-zoomcamp
Data Engineering Zoomcamp is a free 9-week course on building production-ready data pipelines. Join the course here 👇🏼
jakevdp / PythonDataScienceHandbook
Python Data Science Handbook: full text in Jupyter Notebooks
jackfrued / Python-100-Days
Python - 100天从新手到大师
HandsOnLLM / Hands-On-Large-Language-Models
Official code repo for the O'Reilly Book - "Hands-On Large Language Models"
NirDiamant / GenAI_Agents
50+ tutorials and implementations for Generative AI Agent techniques, from basic conversational bots to complex multi-agent systems.
NirDiamant / RAG_Techniques
This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. Each technique has a detailed notebook tutorial.
microsoft / Data-Science-For-Beginners
10 Weeks, 20 Lessons, Data Science for All!
hoochanlon / hamuleite
🌊深度整合全球顶尖学术、金融与教育资源：学术板块汇聚 JSTOR、Taylor & Francis、剑桥大学出版社等权威平台的论文，并接入 Z-Library 影子图书馆的海量电子书；教育板块收录香港、新加坡从小学到高中以及大学学科教科书；金融板块则聚合香橼、摩根、野村等顶级机构的深度研报，只为打破信息孤岛，构建知识平权普惠知识库。
stefan-jansen / machine-learning-for-trading
Code for Machine Learning for Trading, 3rd edition — from data sourcing to live execution.
Barry81-666 / kaggle-portfolio
Curated Kaggle projects in computational biology, medical imaging, data science and machine learning.
AccumulateMore / CV
✅（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】
ed-donner / llm_engineering
Repo to accompany my mastering LLM engineering course
datawhalechina / jev-cookbook
⚡ 适合中国宝宝的 Jev 入门教程｜手把手带你了解关于 Jev 的一切——Jupyter Notebook 轻松实验，从三种问题原语到 18 篇实战配方、语音智能家居、模型评测与本地微调，全面掌握 System One 判断模型的开发范式
google-research / google-research
Google Research
microsoft / mcp-for-beginners
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.
langchain-ai / rag-from-scratch
Jupyter notebooks and a video playlist that teach retrieval augmented generation (RAG) step by step, from indexing to generation.
charliedream1 / ai_quant_trade
Stock AI Trader: 1-stop platform for learning, sim & live trading. Covers: stock basics, strategies, LLMs, factor mining, ML/DL/RL, graph nets, HFT, C++ deploy & JoinQuant code. 股票AI操盘手：一站式学习、模拟、实盘平台。涵盖：股票基础、策略、大模型、因子挖掘、机器学习/深度学习/强化学习、图网络、高频交易、C++部署及聚宽代码。
NirDiamant / agents-towards-production
End-to-end, code-first tutorials for building production-grade GenAI agents. From prototype to enterprise deployment.
hugo2046 / QuantsPlaybook
量化研究-券商金工研报复现
jpmorganchase / python-training
Python training for business analysts and traders
google-gemini / cookbook
Examples and guides for using the Gemini API
zju3dv / GVHMR
Code for "GVHMR: World-Grounded Human Motion Recovery via Gravity-View Coordinates", Siggraph Asia 2024, TPAMI 2026
ageron / handson-ml3
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.
guipsamora / pandas_exercises
Practice your pandas skills!
fastai / fastbook
The fastai book, published as Jupyter Notebooks
greyhatguy007 / Machine-Learning-Specialization-Coursera
Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG
calmrocks / ai-engineer-notebooks
Hands-on, framework-free Colab notebooks for the AI Engineer / Forward Deployed Engineer (FDE) skill set — model APIs, structured output, tool calling, RAG, evals-as-the-spine, agents (loop from scratch, tool design, guardrails, MCP, Skills), fine-tuning vs LoRA, prompt-injection/security, LLMOps, and customer craft. Runs on the free Groq API.
evidentlyai / evidently
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.
facebookresearch / segment-anything
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.
udlbook / udlbook
Understanding Deep Learning - Simon J.D. Prince
snakers4 / silero-models
Silero Models: pre-trained text-to-speech models made embarrassingly simple
oracle-devrel / oracle-ai-developer-hub
Technical resources for AI developers to build applications, agents, and systems using Oracle AI Database and OCI services
duoan / TorchCode
🔥 LeetCode for PyTorch — practice implementing softmax, attention, GPT-2 and more from scratch with instant auto-grading. Jupyter-based, self-hosted or try online.
Exorust / TorchLeet
LeetCode for PyTorch — 65 ML/AI interview problems from real interviews at Google, Meta, Anthropic. Jupyter notebooks, an auto-grader, and an MCP AI tutor.
ageron / handson-mlp
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, PyTorch, and Hugging Face libraries.
AllenDowney / ThinkStats
Notebooks for the third edition of Think Stats
wesm / pydata-book
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
cantaro86 / Financial-Models-Numerical-Methods
Collection of notebooks about quantitative finance, with interactive python code.
neo4j-labs / llm-graph-builder
Neo4j graph construction from unstructured data using LLMs
shsarv / Machine-Learning-Projects
This repository showcases a selection of machine learning projects undertaken to understand and master various ML concepts. Each project reflects commitment to applying theoretical knowledge to practical scenarios, demonstrating proficiency in machine learning techniques and tools.
py-why / EconML
ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.
alphacep / vosk-api
Offline speech recognition API for Android, iOS, Raspberry Pi and servers with Python, Java, C# and Node
roboflow / notebooks
A collection of tutorials on state-of-the-art computer vision models and techniques. Explore everything from foundational architectures like ResNet to cutting-edge models like RF-DETR, YOLO11, SAM 3, and Qwen3-VL.
genieincodebottle / generative-ai
Comprehensive resources on Generative AI, including a detailed roadmap, projects, use cases, interview preparation, and coding preparation.
Intellindust-AI-Lab / DEIMv2
[DEIMv2] Real Time Object Detection Meets DINOv3
datawhalechina / llm-algo-leetcode
LLM algorithm practice lab with theory, solutions, and test cases.《大模型算法与系统教程》面向大模型入门到进阶的算法实战教程，覆盖原理讲解、答案解析、测试用例与 CUDA/Triton 实战。
probml / pyprobml
Python code for "Probabilistic Machine learning" book by Kevin Murphy
MARKTECHPOST-AI-MEDIA-INC / AI-Agents-Projects-Tutorials
Multi-agent systems, memory, planning, reasoning loops
peterdsharpe / AeroSandbox
Aircraft design optimization made fast through computational graph transformations (e.g., automatic differentiation). Composable analysis tools for aerodynamics, propulsion, structures, trajectory design, and much more.
huggingface / computer-vision-course
This repo is the homebase of a community driven course on Computer Vision with Neural Networks. Feel free to join us on the Hugging Face discord: hf.co/join/discord
NirDiamant / Prompt_Engineering
22 prompt engineering techniques with hands-on Jupyter Notebook tutorials, from fundamental concepts to advanced strategies for leveraging LLMs.