Jupyter Notebook repositories

AI Engineering Academy is a structured learning platform offering curated educational content and hands-on projects for mastering applied AI concepts...

Nemotron is NVIDIA's developer hub for training, fine-tuning, and deploying the Nemotron family of open models optimized for agentic AI workflows. It...

A comprehensive Chinese-language course for building large language models from scratch, covering pre-training data engineering, tokenizers,...

NVIDIA Cosmos is an open platform of omnimodal world models that process and generate language, images, video, audio, and action sequences for...

Claude Cookbooks is an official Anthropic collection of Jupyter notebooks and code examples demonstrating practical applications of the Claude API...

MiniCPM5-1B is a 1 billion parameter dense language model optimized for on-device and resource-constrained deployment, achieving state-of-the-art...

This is an educational resource portal for fine-tuning large language models, covering SFT and reinforcement learning workflows (GRPO, GSPO), data...

GEPA is a framework for optimizing textual parameters (prompts, code, agent architectures, configurations) using LLM-based reflection and...

A modular educational framework for building Agentic RAG systems with LangGraph, designed to teach retrieval-augmented generation with practical...

A comprehensive Python library and textbook packaging 35 production-grade agentic AI architectures (Reflexion, LATS, GraphRAG, MemGPT, Voyager,...

This repository is the official code companion to a Manning book that teaches how to build a reasoning LLM from scratch using PyTorch, starting with...

A hands-on programming tutorial series for learning large language models, originating from Shanghai Jiao Tong University courses on NLP and AI...

LLM Engineering is an 8-week educational course repository designed to teach AI and large language model engineering fundamentals through...

AirLLM is a specialized inference framework that reduces GPU memory requirements for large language models through layer-by-layer computation without...

LLMForEverybody is a Chinese-language educational resource for learning large language models, covering foundational concepts, research papers...

A structured 12-week, 24-lesson open curriculum by Microsoft covering AI fundamentals including neural networks, computer vision, NLP, CNNs, RNNs,...

A collection of 18 reinforcement learning algorithms implemented from scratch in Jupyter Notebooks, designed explicitly for educational understanding...

DINOv3 is a self-supervised vision foundation model from Meta AI Research that learns visual representations without labeled data, enabling transfer...

Machine Learning Zoomcamp is a free 4-month educational course teaching ML engineering end-to-end, from algorithm fundamentals (regression,...

Data Engineering Zoomcamp is a free, structured 9-week educational course teaching data engineering fundamentals through hands-on pipeline building...

LLM Zoomcamp is a free, 10-week structured online course teaching practical LLM application development, with a focus on Retrieval-Augmented...

TRIBE v2 is a multimodal foundation model that predicts fMRI brain responses to naturalistic stimuli (video, audio, text) by combining...

A 10-week, 20-lesson structured curriculum for learning data science from Microsoft Cloud Advocates, featuring Jupyter Notebooks with quizzes,...

A comprehensive educational notebook collection covering deep learning fundamentals (PyTorch, computer vision, NLP) and advanced topics (large...

A Microsoft-authored open-source curriculum teaching Model Context Protocol (MCP) fundamentals through practical, cross-language examples in .NET,...

FinRL is an open-source framework implementing financial reinforcement learning for algorithmic trading research and education. It provides an...

A comprehensive, curated collection of cybersecurity resources, scripts, tools, and training materials covering ethical hacking, penetration testing,...

A curated collection of executable Python notebooks and sample applications demonstrating Elasticsearch as a vector database for AI-powered search,...

A structured 12-lesson course by Microsoft teaching beginners how to build AI agents using frameworks like AutoGen and Semantic Kernel, delivered via...

This is a comprehensive code repository and educational resource for the third edition of 'Machine Learning for Trading,' covering the complete...