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accelerate

🚀 A simple way to train and use PyTorch models with multi-GPU, TPU, mixed-precision

aiortc

WebRTC and ORTC implementation for Python using asyncio

anyq

FAQ-based Question Answering System

app-server

Demo of IM application server

audio-slicer

Python script that slices audio with silence detection

audiocraft

Audiocraft is a library for audio processing and generation with deep learning. It features the state-of-the-art EnCodec audio compressor / tokenizer, along with MusicGen, a simple and controllable music generation LM with textual and melodic conditioning.

auto-gpt

An experimental open-source attempt to make GPT-4 fully autonomous.

awesome-chatgpt-prompts

This repo includes ChatGPT prompt curation to use ChatGPT better.

baichuan-7b

A large-scale 7B pretraining language model developed by Baichuan

bark

🔊 Text-Prompted Generative Audio Model

bert

TensorFlow code and pre-trained models for BERT

bert-embedding-frequently-asked-question

FAQ-based Question Answering System using BERT

billd-live

基于Vue3 + WebRTC + Node + SRS搭建的直播间

billd-live-server

基于Nodejs + Koa2 + Typescript搭建的billd-live后端

build-your-own-x

Master programming by recreating your favorite technologies from scratch.

chatbot

chinese-llama-2-7b

开源社区第一个能下载、能运行的中文 LLaMA2 模型！

chroma

the AI-native open-source embedding database

clickhouse

ClickHouse® is a free analytics DBMS for big data

clipdrop-api-samples

Public samples using the ClipDrop API

codellama

Inference code for CodeLlama models

colossalai

Making large AI models cheaper, faster and more accessible

coredns

CoreDNS is a DNS server that chains plugins

cpp-common

cpp-common(C++基础库)， 包含EPOLL、线程、互斥锁等基础类封装

dbproxy

DBProxy(database proxy), 基于MySQL数据库开发的数据库代理系统

ddparser

百度开源的依存句法分析系统

deepspeed

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

dit

Official PyTorch Implementation of "Scalable Diffusion Models with Transformers"

doc

doccano

Open source annotation tool for machine learning practitioners.