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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

benchmarking-gnns

Repository for benchmarking graph neural networks

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

colorlight-iot

the Android App of IOT using UDP and MQTT Agreement

colossalai

Making big AI models cheaper, easier, and more scalable

copner

COPNER: Contrastive Learning with Prompt Guiding for Few Shot Named Entity Recognition

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

few-shot-learning

some classic metric-based Few-Shot Learning methods based on pytorch 1.x

fingpt

Data-Centric FinGPT. Open-source for open finance! Revolutionize 🔥 We'll soon release the trained model.

iedatasets

Information extraction dataset zoo.

imgqwerty

leetcode_algorithm

:monkey:LeetCode、剑指Offer刷题笔记（C/C++、Python3实现）

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

numpy-ml

Machine learning, in numpy

paper-writing-tips

Paper Writing Tips

plotneuralnet

Latex code for making neural networks diagrams

power-ner

BERT-NER+Some Tricks

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