- Xiamen, China
- https://liangzhejia.com/
Starred repositories
Python - 100天从新手到大师
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.
Learn how to design, develop, deploy and iterate on production-grade ML applications.
12 Lessons to Get Started Building AI Agents
🔊 Text-Prompted Generative Audio Model
A collection of notebooks/recipes showcasing some fun and effective ways of using Claude.
A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
100-Days-Of-ML-Code中文版
Instruct-tune LLaMA on consumer hardware
Neural Networks: Zero to Hero
Welcome to the Llama Cookbook! This is your go to guide for Building with Llama: Getting started with Inference, Fine-Tuning, RAG. We also show you how to solve end to end problems using Llama mode…
FinGPT: Open-Source Financial Large Language Models! Revolutionize 🔥 We release the trained model on HuggingFace.
Official code repo for the O'Reilly Book - "Hands-On Large Language Models"
This repository provides tutorials and implementations for various Generative AI Agent techniques, from basic to advanced. It serves as a comprehensive guide for building intelligent, interactive A…
💿 Free software that works great, and also happens to be open-source Python.
Anthropic's educational courses
StableLM: Stability AI Language Models
One has no future if one couldn't teach themself.
This repository delivers end-to-end, code-first tutorials covering every layer of production-grade GenAI agents, guiding you from spark to scale with proven patterns and reusable blueprints for re…
Your new Mentor for Data Science E-Learning.
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 …
[WIP] Resources for AI engineers. Also contains supporting materials for the book AI Engineering (Chip Huyen, 2025)
TensorFlow 2.x version's Tutorials and Examples, including CNN, RNN, GAN, Auto-Encoders, FasterRCNN, GPT, BERT examples, etc. TF 2.0版入门实例代码,实战教程。
『ゼロから作る Deep Learning』(O'Reilly Japan, 2016)
This repository provides an advanced Retrieval-Augmented Generation (RAG) solution for complex question answering. It uses sophisticated graph based algorithm to handle the tasks.
TensorFlow 最佳学习资源大全(含课程、书籍、博客、公开课等内容)
Jupyter Notebooks for Geektime AI Course