Yuting Hu's starred repositories
claude-unofficial-api
Unofficial API for Claude-2 via Claude Web (Also CLI)
self-correction-llm-papers
This is a collection of research papers for Self-Correcting Large Language Models with Automated Feedback.
Awesome-Knowledge-Graph-Reasoning
AKGR: Awesome Knowledge Graph Reasoning is a collection of knowledge graph reasoning works, including papers, codes and datasets
awesome-generative-ai
A curated list of modern Generative Artificial Intelligence projects and services
wikidata-taxonomy
command-line tool to extract taxonomies from Wikidata
HumanDiseaseOntology
Repository for the Human Disease Ontology.
wikibase-cli
read and edit a Wikibase instance from the command line
awesome-generative-ai-guide
A one stop repository for generative AI research updates, interview resources, notebooks and much more!
circuit-gnn
[ICML 2019] Circuit-GNN: Graph Neural Networks for Distributed Circuit Design http://circuit-gnn.csail.mit.edu/
A-Comprehensive-Note-on-Machine-Learning
These notes are for personal and educational use only. Any redistribution or sharing without my explicit consent is prohibited. They serve as a private learning and reference resource.
llm-search
Querying local documents, powered by LLM
PDFDownloader
An Innvoative Web Scrapping Solution to Download PDF Files
DailyPaper
By crawling the latest papers on arXiv with specified keywords using a web crawler, and then summarizing the content of the papers using chatgpt, we can compile and update the information.通过爬虫每日抓取arXiv上指定关键词的最新论文,然后使用chatgpt总结论文内容,汇总更新。
Get-Things-Done-with-Prompt-Engineering-and-LangChain
LangChain & Prompt Engineering tutorials on Large Language Models (LLMs) such as ChatGPT with custom data. Jupyter notebooks on loading and indexing data, creating prompt templates, CSV agents, and using retrieval QA chains to query the custom data. Projects for using a private LLM (Llama 2) for chat with PDF files, tweets sentiment analysis.
llama_index
LlamaIndex is a data framework for your LLM applications
openai-cookbook
Examples and guides for using the OpenAI API