microsoft / ai-agents-for-beginners
12 Lessons to Get Started Building AI Agents
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12 Lessons to Get Started Building AI Agents
[WIP] Resources for AI engineers. Also contains supporting materials for the book AI Engineering (Chip Huyen, 2025)
Python - 100天从新手到大师
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.
NVIDIA curated collection of educational resources related to general purpose GPU programming.
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.
[CVPR 2025] Official PyTorch implementation of "EdgeTAM: On-Device Track Anything Model"
📚 从零开始的大语言模型原理与实践教程
This repository contains implementations and illustrative code to accompany DeepMind publications
面向开发者的 LLM 入门教程,吴恩达大模型系列课程中文版
YSDA course in Natural Language Processing
Get started with building Fullstack Agents using Gemini 2.5 and LangGraph
Ready-to-run cloud templates for RAG, AI pipelines, and enterprise search with live data. 🐳Docker-friendly.⚡Always in sync with Sharepoint, Google Drive, S3, Kafka, PostgreSQL, real-time data APIs, and more.
All notes and materials for the CS229: Machine Learning course by Stanford University
Code for the ProteinMPNN paper
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.
The fastai book, published as Jupyter Notebooks