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ai-toolbox

Algorithm Engineer Toolbox, for the purpose of quickly iterating new ideas

awesome-java-cn

Java资源大全中文版，包括开发库、开发工具、网站、博客、微信、微博等，由伯乐在线持续更新。

awesome-python

A curated list of awesome Python frameworks, libraries, software and resources

baize

Baize is an open-source chatbot trained with ChatGPT self-chatting data, developed by researchers at UCSD and Sun Yat-sen University.

belle

BELLE: Be Everyone's Large Language model Engine（开源中文对话大模型）

chatpdf

open source ChatPDF

china_regions

最全最新**省，市，地区json及sql数据

chinese-llama-alpaca

中文LLaMA&Alpaca大语言模型+本地部署 (Chinese LLaMA & Alpaca LLMs)

chinesenlpcorpus

搜集、整理、发布 中文 自然语言处理 语料/数据集，与 有志之士 共同 促进 中文 自然语言处理 的 发展。

colossalai

Making large AI models cheaper, faster and more accessible

deepfacelab

DeepFaceLab is the leading software for creating deepfakes.

deepsegment

A sentence segmenter that actually works!

deepspeed

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

deepspeedexamples

Example models using DeepSpeed

eventtriplesextraction

An experiment and demo-level tool for text information extraction (event-triples extraction), which can be a route to the event chain and topic graph, 基于依存句法与语义角色标注的事件三元组抽取，可用于文本理解如文档主题链，事件线等应用。

facedancer

faceswap

Deepfakes Software For All

fastchat

The release repo for "Vicuna: An Open Chatbot Impressing GPT-4"

gmail-assist

Get control of your overflowing inbox using GPT-3 to classify your emails by importance.

hdu-nlp-task

杭电计算机自然语言处理课程作业(2022,HuangXX)

heroyan

langchain

⚡ Building applications with LLMs through composability ⚡

langchain-chinese-getting-started-guide

LangChain 的中文入门教程

llama_index

LlamaIndex (GPT Index) is a data framework for your LLM applications

longchainkbqa

openie-standalone

recognize_anything-tag2text

Code for the Recognize Anything Model and Tag2Text Model

simple-chatpdf

使用langchain进行简单的chatpdf

text-generation-inference

Large Language Model Text Generation Inference

topicalchange

Code accompanying the submission "Structural Text Segmentation of Legal Documents" by Aumiller et al.