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Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
《动手学大模型Dive into LLMs》系列编程实践教程
AISystem 主要是指AI系统，包括AI芯片、AI编译器、AI推理和训练框架等AI全栈底层技术
A hands-on introduction to video technology: image, video, codec (av1, vp9, h265) and more (ffmpeg encoding). Translations: 🇺🇸 🇨🇳 🇯🇵 🇮🇹 🇰🇷 🇷🇺 🇧🇷 🇪🇸
llama3 implementation one matrix multiplication at a time
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
This repository contains implementations and illustrative code to accompany DeepMind publications
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 …
本项目是一个面向小白开发者的大模型应用开发教程，在线阅读地址：https://datawhalechina.github.io/llm-universe/
This repository contains demos I made with the Transformers library by HuggingFace.
Book_4_《矩阵力量》 | 鸢尾花书：从加减乘除到机器学习；上架！
Understanding Deep Learning - Simon J.D. Prince
Sutskever 30 implementations inspired by https://papercode.vercel.app/
《AI 研发提效：自己动手训练 LoRA》，包含 Llama （Alpaca LoRA）模型、ChatGLM （ChatGLM Tuning）相关 Lora 的训练。训练内容：用户故事生成、测试代码生成、代码辅助生成、文本转 SQL、文本生成代码……
PyTorch implementation of "Learning to Discover Cross-Domain Relations with Generative Adversarial Networks"
Collection of important articles to be treated as a textbook
推荐系统入门指南，全面介绍了工业级推荐系统的理论知识（王树森推荐系统公开课-基于小红书的场景讲解工业界真实的推荐系统），如何基于TensorFlow2训练模型，如何实现高性能、高并发、高可用的Golang推理微服务。Comprehensively introduced the theory of industrial recommender system, how to trainning …
NLP Zero to Hero in just 10 Kernels
A summary of all lucidrains repositores and links to training / research approaches by LAION or other communities.
RAG兴趣小组，全手写的一个RAG应用。Langchain的大部分库会很方便，但是你不一定理解其中原理，所以代码尽可能展现基本算法，主打理解RAG的原理
From baby GPT to diffusion GPT: An annotated implementation of a character-level discrete diffusion model (adapted from Karpathy’s baby GPT).
A collection of Kotlin-based examples featuring AI frameworks such as Spring AI, LangChain4j, and more — complete with Kotlin notebooks for hands-on learning.
demonstration of the information bottleneck theory for deep learning