Lordog / dive-into-llms
《动手学大模型Dive into LLMs》系列编程实践教程
Lordog / dive-into-llms
microsoft / generative-ai-for-beginners
21 Lessons, Get Started Building with Generative AI
microsoft / ai-agents-for-beginners
18 Lessons to Get Started Building AI Agents
rasbt / LLMs-from-scratch
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
jackfrued / Python-100-Days
Python - 100天从新手到大师
microsoft / AI-For-Beginners
12 Weeks, 24 Lessons, AI for All!
anthropics / claude-cookbooks
A collection of notebooks/recipes showcasing some fun and effective ways of using Claude.
mrdbourke / zero-to-mastery-ml
All course materials for the Zero to Mastery Machine Learning and Data Science course.
chiphuyen / aie-book
[WIP] Resources for AI engineers. Also contains supporting materials for the book AI Engineering (Chip Huyen, 2025)
AI4Finance-Foundation / FinRL
FinRL®: Financial Reinforcement Learning. 🔥
openai / openai-cookbook
Examples and guides for using the OpenAI API
NirDiamant / RAG_Techniques
This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. Each technique has a detailed notebook tutorial.
stefan-jansen / machine-learning-for-trading
Code for Machine Learning for Trading, 3rd edition — from data sourcing to live execution.
DataTalksClub / data-engineering-zoomcamp
Data Engineering Zoomcamp is a free 9-week course on building production-ready data pipelines. Join the course here 👇🏼
hugo2046 / QuantsPlaybook
量化研究-券商金工研报复现
GokuMohandas / Made-With-ML
Learn how to develop, deploy and iterate on production-grade ML applications.
datawhalechina / deepagents-in-action
📚 《Deep Agents 实战》—— LangChain 官方大使出品，基于 LangChain / LangGraph 生态，从零构建生产级 AI Agent 的完整指南
Liquid4All / cookbook
Examples, end-2-end tutorials and apps built using Liquid AI Foundational Models (LFM) and the LEAP SDK
udlbook / udlbook
Understanding Deep Learning - Simon J.D. Prince
The-Art-of-Hacking / h4cker
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
NirDiamant / GenAI_Agents
50+ tutorials and implementations for Generative AI Agent techniques, from basic conversational bots to complex multi-agent systems.
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】
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.
anthropics / prompt-eng-interactive-tutorial
Anthropic's Interactive Prompt Engineering Tutorial
NVIDIA / accelerated-computing-hub
NVIDIA curated collection of educational resources related to general purpose GPU programming.
SakanaAI / AI-Scientist
The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery 🧑🔬
ed-donner / llm_engineering
Repo to accompany my mastering LLM engineering course
facebookresearch / audiocraft
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.
higgsfield-ai / higgsfield
Fault-tolerant, highly scalable GPU orchestration, and a machine learning framework designed for training models with billions to trillions of parameters
CompVis / stable-diffusion
A latent text-to-image diffusion model
patchy631 / ai-engineering-hub
In-depth tutorials on LLMs, RAGs and real-world AI agent applications.
walkinglabs / hands-on-modern-rl
🚀 An open-source, hands-on curriculum bridging the gap from basic RL concepts to LLM alignment, RLVR, and advanced Agentic systems.
CalvinXKY / InfraTech
分享AI Infra知识&代码练习：PyTorch、vLLM/SGLang、slime/vime框架入门⚡️、性能加速🚀、大模型基础🧠、AI软硬件🔧等
facebookresearch / dinov3
Reference PyTorch implementation and models for DINOv3
facebookresearch / sam2
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.
NirDiamant / agents-towards-production
End-to-end, code-first tutorials for building production-grade GenAI agents. From prototype to enterprise deployment.
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.
DataTalksClub / machine-learning-zoomcamp
Learn ML engineering for free in 4 months! Register here 👇🏼
NVIDIA-NeMo / Nemotron
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
DataTalksClub / mlops-zoomcamp
Free MLOps course from DataTalks.Club. Register here 👇🏼 to get notified about the next cohort
pyannote / pyannote-audio
Neural building blocks for speaker diarization: speech activity detection, speaker change detection, overlapped speech detection, speaker embedding
DataTalksClub / llm-zoomcamp
LLM Zoomcamp - a free online course about real-life applications of LLMs. In 10 weeks you will learn how to build an AI system that answers questions about your knowledge base. Register here 👇🏼
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。
rasbt / reasoning-from-scratch
Implement a reasoning LLM in PyTorch from scratch, step by step
datawhalechina / diy-llm
Covers pre-training data, Tokenizer, Transformer, MoE,distributed training, Scaling Laws, inference & alignment .6 progressive code assignments for full-stack LLM learning | 涵盖预训练数据、分词器、Transformer、MoE、分布式训练、缩放定律、推理与对齐，6 项渐进代码作业，掌握 LLM 全栈知识
AI4Finance-Foundation / FinGPT
FinGPT: Open-Source Financial Large Language Models! Revolutionize 🔥 We release the trained model on HuggingFace.
mrdbourke / pytorch-deep-learning
Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.
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。
FinanceFlash / unvibecode
Complex code hides connections, workflows, and business risks.Unvibe complex code. Trace business workflows.
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.
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.
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。
GoogleCloudPlatform / generative-ai
Sample code and notebooks for Generative AI on Google Cloud, with Gemini Enterprise Agent Platform
alphacep / vosk-api
Offline speech recognition API for Android, iOS, Raspberry Pi and servers with Python, Java, C# and Node
facebookresearch / dinov2
PyTorch code and models for the DINOv2 self-supervised learning method.
snakers4 / silero-models
Silero Models: pre-trained text-to-speech models made embarrassingly simple
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.
genieincodebottle / generative-ai
Comprehensive resources on Generative AI, including a detailed roadmap, projects, use cases, interview preparation, and coding preparation.
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.
NirDiamant / Agent_Memory_Techniques
Agent memory for LLMs: 30 runnable Jupyter notebooks covering conversation buffers, vector stores, knowledge graphs, episodic and semantic memory, MemGPT, Mem0, Letta, Zep, Graphiti, LoCoMo benchmarks, and production patterns.