Yucheng Huang's repositories
few-shot-learning
some classic metric-based Few-Shot Learning methods based on pytorch 1.x
RealChar
🎙️🤖Create, Customize and Talk to your AI Character/Companion in Realtime (All in One Codebase!). Have a natural seamless conversation with AI everywhere (mobile, web and terminal) using LLM OpenAI GPT3.5/4, Anthropic Claude2, Chroma Vector DB, Whisper Speech2Text, ElevenLabs Text2Speech🎙️🤖
AIinterview
算法工程师面试题整理
alpaca-lora
Instruct-tune LLaMA on consumer hardware
Awesome-algorithm-interview
算法工程师(人工智能CV方向)面试问题及相关资料
awesome-chatgpt-prompts
This repo includes ChatGPT prompt curation to use ChatGPT better.
awesome-chatgpt-prompts-zh
ChatGPT 中文调教指南。各种场景使用指南。学习怎么让它听你的话。
awesome-computer-vision
A curated list of awesome computer vision resources
ChatGLM2-Voice-Cloning
Chat with any character you like: ChatGLM2+SadTalker+Voice Cloning | 和喜欢的角色沉浸式对话吧：ChatGLM2+声音克隆+视频对话
ChatGPT
Reverse engineered ChatGPT API
ColossalAI
Making big AI models cheaper, easier, and more scalable
daily-interview
Datawhale成员整理的面经，内容包括机器学习，CV，NLP，推荐，开发等，欢迎大家star
DB-GPT
Revolutionizing Database Interactions with Private LLM Technology
FinGPT
Data-Centric FinGPT. Open-source for open finance! Revolutionize 🔥 We'll soon release the trained model.
List-of-Dirty-Naughty-Obscene-and-Otherwise-Bad-Words
List of Dirty, Naughty, Obscene, and Otherwise Bad Words
llm_training
the training code of LLM, SFT+DPO
NLP_ability
总结梳理自然语言处理工程师(NLP)需要积累的各方面知识，包括面试题，各种基础知识，工程能力等等，提升核心竞争力
Paper-Writing-Tips
Paper Writing Tips
Prompt-Engineering-Guide
:octopus: Guides, papers, lecture, and resources for prompt engineering
public-apis
A collective list of free APIs
PyChatGPT
⚡️ Python client for the unofficial ChatGPT API with auto token regeneration, conversation tracking, proxy support and more.
question_generation
Neural question generation using transformers
responsibleNLPresearch
templates and other documents regarding responsible NLP research
slp3-zh
《自然语言处理综论》第三版翻译。
stanford_alpaca
Code and documentation to train Stanford's Alpaca models, and generate the data.
Tech_Aarticle
主要是我是日常看过的不错的文章的资源汇总，方便自己也分享给大家。有些我看过的，就会做简单的解读，没看过的，就先罗列一下，然后之后看了把解读更新上；涉及到搜索/推荐/自然语言处理。
tinygrad
You like pytorch? You like micrograd? You love tinygrad! ❤️