Hugo_Liu's repositories
arxiv-search
arXiv Search UI & APIs
NLBGP
Official repository of "Can Language Models Solve Graph Problems in Natural Language?". NeurIPS 2023 (Spotlight)
ChatGPT-Next-Web-Family
A cross-platform ChatGPT/Gemini UI (Web / PWA / Linux / Win / MacOS). 一键拥有你自己的跨平台 ChatGPT/Gemini 应用。
TF-ID
TF-ID: Table/Figure IDentifier for academic papers
Awesome-Graph-LLM
A collection of AWESOME things about Graph-Related LLMs.
chat-api
基于One API与New API的基础上进行二次开发
zotero-education-startup
Zotero is a free, easy-to-use tool to help you collect, organize, annotate, cite, and share your research sources.
LLM-Planning-Papers
Must-read Papers on Large Language Model (LLM) Planning.
OpsEval-Datasets
Datasets for OpsEval
Skywork-MoE
Skywork-MoE: A Deep Dive into Training Techniques for Mixture-of-Experts Language Models
llama3-from-scratch
llama3 implementation one matrix multiplication at a time
chatgpt-plus
AI 助手全套开源解决方案,自带运营管理后台,开箱即用。集成了 ChatGPT, Azure, ChatGLM,讯飞星火,文心一言等多个平台的大语言模型。支持 MJ AI 绘画,Stable Diffusion AI 绘画,微博热搜等插件工具。采用 Go + Vue3 + element-plus 实现。
AI-RPi-detection
AI Raspberry Pi cat detection and notification: get a text when your cat does something it's not supposed to do, and have AI narrate what it sees. Generalizable across other use cases outside of cats
everyone-can-use-english
人人都能用英语
ChatGPT-Next-Web-Pro
基于chatgpt-next-web,增加了midjourney绘画功能,接入了stable-diffusion,支持oss,支持dall-e-3、gpt-4-vision-preview、whisper、tts,支持gpt-4-all,支持GPTs商店。有后台版本正在增加注册登录,后台管理,接入知识库等。
llm.c
LLM training in simple, raw C/CUDA
llm-action
本项目旨在分享大模型相关技术原理以及实战经验。
FlagEmbedding
Retrieval and Retrieval-augmented LLMs
MathForDeepLearning
Source code for the book "Math for Deep Learning" (No Starch Press)
Book1_Python-For-Beginners
Book_1_《编程不难》 | 鸢尾花书:从加减乘除到机器学习;请多多批评指正!
30-Days-Of-Python
30 days of Python programming challenge is a step-by-step guide to learn the Python programming language in 30 days. This challenge may take more than100 days, follow your own pace. These videos may help too: https://www.youtube.com/channel/UC7PNRuno1rzYPb1xLa4yktw
annotated_deep_learning_paper_implementations
🧑🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
Hands-On-Graph-Neural-Networks-Using-Python
Hands-On Graph Neural Networks Using Python, published by Packt