21 Lessons, Get Started Building with Generative AI

Implement a ChatGPT-like LLM in PyTorch from scratch, step by step

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.

🔊 Text-Prompted Generative Audio Model

CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

Learn OpenCV : C++ and Python Examples

100-Days-Of-ML-Code中文版

Get started with building Fullstack Agents using Gemini 2.5 and LangGraph

《李宏毅深度学习教程》（李宏毅老师推荐👍，苹果书🍎），PDF下载地址：https://github.com/datawhalechina/leedl-tutorial/releases

LAVIS - A One-stop Library for Language-Vision Intelligence

Chinese version of CLIP which achieves Chinese cross-modal retrieval and representation generation.

仅需Python基础，从0构建大语言模型；从0逐步构建GLM4\Llama3\RWKV6， 深入理解大模型原理

Notes about courses Dive into Deep Learning by Mu Li

Introduction to Deep Neural Networks with Keras and Tensorflow

Simplified implementations of deep learning related works

Build an email assistant with human-in-the-loop and memory

Code & data for IJCAI'22 paper "Recipe2Vec: Multi-modal Recipe Representation Learning with Graph Neural Networks".