lta155

langchain

🦜🔗 Build context-aware reasoning applications

K-Quant

K-Quant: A Platform of Temporal Financial Knowledge-enhanced Quantitative Investment

MetaGPT

🌟 The Multi-Agent Framework: First AI Software Company, Towards Natural Language Programming

hugging-multi-agent

A tutorial based on MetaGPT to quickly help you understand the concept of agent and muti-agent and get started with coding development. 基于MetaGPT的多智能体入门与开发教程

llm-universe

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/

blivedm

获取bilibili直播弹幕，使用WebSocket协议，支持web端和B站直播开放平台两种接口

easy-rl

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

grape-book

图深度学习（葡萄书），在线阅读地址： https://datawhalechina.github.io/grape-book

statistical-learning-method-solutions-manual

统计学习方法习题解答，在线阅读地址：https://datawhalechina.github.io/statistical-learning-method-solutions-manual

joyrl-book

leetcode-notes

🐳 LeetCode 算法笔记：面试、刷题、学算法。在线阅读地址：https://datawhalechina.github.io/leetcode-notes/

so-large-lm

大模型基础: 一文了解大模型基础知识

kuaishou_websocket

快手直播间弹幕采集

BianQue

中文医疗对话模型扁鹊(BianQue)

tiny-universe

《大模型白盒子构建指南》：一个全手搓的Tiny-Universe

self-llm

《开源大模型食用指南》基于Linux环境快速部署开源大模型，更适合**宝宝的部署教程

Langchain-Chatchat

Langchain-Chatchat（原Langchain-ChatGLM）基于 Langchain 与 ChatGLM 等语言模型的本地知识库问答 | Langchain-Chatchat (formerly langchain-ChatGLM), local knowledge based LLM (like ChatGLM) QA app with langchain

ChatGLM-6B

ChatGLM-6B: An Open Bilingual Dialogue Language Model | 开源双语对话语言模型

llama3

The official Meta Llama 3 GitHub site

LLMSurvey

The official GitHub page for the survey paper "A Survey of Large Language Models".

ARAGOG

ARAGOG- Advanced RAG Output Grading. Exploring and comparing various Retrieval-Augmented Generation (RAG) techniques on AI research papers dataset. Includes modular code for easy experimentation and reusability.

RetrievalTutorials

gpt-2

Code for the paper "Language Models are Unsupervised Multitask Learners"

llms-from-scratch-cn

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

autogen

A programming framework for agentic AI. Discord: https://aka.ms/autogen-dc. Roadmap: https://aka.ms/autogen-roadmap

tsf-new-paper-taste

A code implementation of new papers in the time series forecasting field.

xlab-huanhuan

iTransformer

Official implementation for "iTransformer: Inverted Transformers Are Effective for Time Series Forecasting" (ICLR 2024 Spotlight), https://openreview.net/forum?id=JePfAI8fah

yolov9

Implementation of paper - YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information

heywhale_defect_2024

和鲸的工业缺陷识别创新挑战赛