Grok open release

TensorFlow code and pre-trained models for BERT

LLM training in simple, raw C/CUDA

Open-Sora: Democratizing Efficient Video Production for All

[NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.

本项目旨在分享大模型相关技术原理以及实战经验（大模型工程化、大模型应用落地）

🐫 CAMEL: The first and the best multi-agent framework. Finding the Scaling Law of Agents. https://www.camel-ai.org

强化学习中文教程（蘑菇书🍄），在线阅读地址：https://datawhalechina.github.io/easy-rl/

Retrieval and Retrieval-augmented LLMs

主要记录大语言大模型（LLMs） 算法（应用）工程师相关的知识及面试题

⚡机器学习实战（Python3）：kNN、决策树、贝叶斯、逻辑回归、SVM、线性回归、树回归

《动手学大模型Dive into LLMs》系列编程实践教程

Trax — Deep Learning with Clear Code and Speed

机器学习算法python实现

The paper list of the 86-page SCIS cover paper "The Rise and Potential of Large Language Model Based Agents: A Survey" by Zhiheng Xi et al.

Example models using DeepSpeed

Basic Machine Learning and Deep Learning

A Next-Generation Training Engine Built for Ultra-Large MoE Models

课程视频、PPT和源代码：侯捷C++系列；台大郭彦甫MATLAB

Minimal keyword extraction with BERT

EasyR1: An Efficient, Scalable, Multi-Modality RL Training Framework based on veRL

A simple, easy-to-hack GraphRAG implementation

VirtualWife是一个虚拟数字人项目，支持B站直播，支持openai、ollama

List of papers about Proteins Design using Deep Learning

knowledge graph知识图谱,从零开始构建知识图谱

数字人资料整理

SGI STL source code analysis and note from 《STL源码剖析》 by 侯捷（包含电子书、源码注释及测试代码）

A set of LLM Tutorials from my youtube channel