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
18 Lessons to Get Started Building AI Agents
21 Lessons, Get Started Building with Generative AI
Complex code hides connections, workflows, and business risks.Unvibe complex code. Trace business workflows.
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
A collection of notebooks/recipes showcasing some fun and effective ways of using Claude.
Implement a reasoning LLM in PyTorch from scratch, step by step
All course materials for the Zero to Mastery Machine Learning and Data Science course.
Python - 100天从新手到大师
Code for Machine Learning for Trading, 3rd edition — from data sourcing to live execution.
Repo to accompany my mastering LLM engineering course
Optimize prompts, code, and more with AI-powered Reflective Optimization
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.
Google Research
Repo for the Complete Agentic AI Engineering Course
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。
Code for "GVHMR: World-Grounded Human Motion Recovery via Gravity-View Coordinates", Siggraph Asia 2024, TPAMI 2026
End-to-end, code-first tutorials for building production-grade GenAI agents. From prototype to enterprise deployment.
AI 课程笔记:langchain / langgraph / python / vibe coding
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.
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.
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.
Weekly materials for the Dicle University course Machine Learning in Economics and Finance: slides, lecture videos and code. Course taught in Turkish.
🔥 LeetCode for PyTorch — practice implementing softmax, attention, GPT-2 and more from scratch with instant auto-grading. Jupyter-based, self-hosted or try online.
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 Comprehensive Guide for Generative AI, Agentic AI, Multimodal AI, Physical AI Interviews. Proven Formula for multiple FAANG offers and more
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
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.
PyTorch code and models for the DINOv2 self-supervised learning method.
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
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。
A collection of guides and examples for the Gemma open models from Google.
Data and code behind the articles and graphics at FiveThirtyEight
Collection of notebooks about quantitative finance, with interactive python code.
Tracking Any Point (TAP)
TimeGPT-2.1: production ready pre-trained Time Series Foundation Model for forecasting and anomaly detection. Generative pretrained transformer for time series trained on over 100B data points. It's capable of accurately predicting various domains such as retail, electricity, finance, and IoT with just a few lines of code 🚀.
Multi-agent systems, memory, planning, reasoning loops
Runnable examples for building applications with open models on Nebius Token Factory.
This is the corresponding code for the O'Reilly book: Harness Engineering
Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"
Comprehensive resources on Generative AI, including a detailed roadmap, projects, use cases, interview preparation, and coding preparation.
Apache Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage/tracing and metadata. Runs and scales everywhere python does.
[CVPR 2025 Highlight] Official code and models for Encoder-only Mask Transformer (EoMT).
Build a World Model from Scratch — the Vizuara AI lecture series: slides, from-scratch code, and Colab notebooks
Python code for "Probabilistic Machine learning" book by Kevin Murphy
Text and code for the second edition of Think Bayes, by Allen Downey.
Notebooks, code samples, sample apps, and other resources that demonstrate how to use, develop and manage machine learning and generative AI workflows using Google Cloud Vertex AI.
Code examples for Robotics, Vision & Control 3rd edition in Python
A hands-on introduction to video technology: image, video, codec (av1, vp9, h265) and more (ffmpeg encoding). Translations: 🇺🇸 🇨🇳 🇯🇵 🇮🇹 🇰🇷 🇷🇺 🇧🇷 🇪🇸
Dive into this repository, a comprehensive resource covering Data Structures, Algorithms, 450 DSA by Love Babbar, Striver DSA sheet, Apna College DSA Sheet, and FAANG Questions! 🚀 That's not all! We've got Technical Subjects like Operating Systems, DBMS, SQL, Computer Networks, and Object-Oriented Programming, all waiting for you.
Code repository for World Model From Scratch book
Code samples used on cloud.google.com
Notebooks, code samples and reference for machine learning and generative ai on Google Cloud for the Advanced Solutions Lab (ASL) bootcamps.
Code / solutions for Mathematics for Machine Learning (MML Book)
TorchXRayVision: A library of chest X-ray datasets and models. Classifiers, segmentation, and autoencoders.
A repository of code samples for Vector search capabilities in Azure AI Search.
Learn quantitative finance with this comprehensive lecture series. Adapted from the Quantopian Lecture Series. Uses free sample data.