Repositories

Python - 100天从新手到大师

21 Lessons, Get Started Building with Generative AI

12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

Examples and guides for using the OpenAI API

18 Lessons to Get Started Building AI Agents

12 Weeks, 24 Lessons, AI for All!

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.

A collection of notebooks/recipes showcasing some fun and effective ways of using Claude.

《动手学大模型Dive into LLMs》系列编程实践教程

Python Data Science Handbook: full text in Jupyter Notebooks

This is a repo with links to everything you'd ever want to learn about data engineering

Google Research

Anthropic's Interactive Prompt Engineering Tutorial

AirLLM 70B inference with single 4GB GPU

Course Files for Complete Python 3 Bootcamp Course on Udemy

The fastai book, published as Jupyter Notebooks

Anthropic's educational courses

Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.

Examples and guides for using the Gemini API

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

[WIP] Resources for AI engineers. Also contains supporting materials for the book AI Engineering (Chip Huyen, 2025)

One has no future if one couldn't teach themself.

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.

Jupyter Interactive Notebook

NVIDIA Cosmos is an open platform of world models, datasets, and tools that enables developers to build Physical AI for robots, autonomous vehicles, smart infrastructure, and more.

Reference PyTorch implementation and models for DINOv3

This repo is meant to serve as a guide for Machine Learning/AI technical interviews.

Repo to accompany my mastering LLM engineering course

股票AI操盘手：从学习、模拟到实盘，一站式平台。包含股票知识、策略实例、大模型、因子挖掘、传统策略、机器学习、深度学习、强化学习、图网络、高频交易、C++部署和聚宽实例代码等，可以方便学习、模拟及实盘交易

Optimize prompts, code, and more with AI-powered Reflective Optimization

250+ Fine-tuning & RL Notebooks for text, vision, audio, embedding, TTS models.

Neo4j graph construction from unstructured data using LLMs

Learn to build your Second Brain AI assistant with LLMs, agents, RAG, fine-tuning, LLMOps and AI systems techniques.

No description provided.

Examples, end-2-end tutorials and apps built using Liquid AI Foundational Models (LFM) and the LEAP SDK

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

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.

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.

Finviz analysis python library.

A library of Jupyter notebooks and corresponding YouTube lectures by Roman Paolucci