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Awesome LLM for NLG Evaluation Papers
Over 400 focus icon pieces, over 40 focus and idea backgrounds, and more that help GFX modders in HOI4.
CRSLab is an open-source toolkit for building Conversational Recommender System (CRS).
KDD2020 Improving Conversational Recommender Systems via Knowledge Graph based Semantic Fusion
Unleashing the Power of Cognitive Dynamics on Large Language Models
A Python framework for performing information retrieval experiments, building on https://terrier.org/
Pyserini is a Python toolkit for reproducible information retrieval research with sparse and dense representations.
Anserini is a Lucene toolkit for reproducible information retrieval research
Is ChatGPT Good at Search? LLMs as Re-Ranking Agent [EMNLP 2023 Outstanding Paper Award]
RankLLM is a Python toolkit for reproducible information retrieval research using rerankers, with a focus on listwise reranking.
📝基于 Vue、Vditor，所构建的在线 Markdown 编辑器，支持流程图、甘特图、时序图、任务列表、HTML 自动转换为 Markdown 等功能；🎉新增「所见即所得」编辑模式。https://niceshare.site/
An annotated implementation of the Transformer paper.
A markdown parser and compiler. Built for speed.
♏ 一款浏览器端的 Markdown 编辑器，支持所见即所得（富文本）、即时渲染（类似 Typora）和分屏预览模式。An In-browser Markdown editor, support WYSIWYG (Rich Text), Instant Rendering (Typora-like) and Split View modes.
A Curated List of Must-read Papers on Recommender System.
Paper List for Recommend-system PreTrained Models
AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
Use ChatGPT to summarize the arXiv papers. 全流程加速科研，利用chatgpt进行论文全文总结+专业翻译+润色+审稿+审稿回复
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。
Browser extension which gives you more control over your Twitter timeline and adds missing features and UI improvements - available for desktop and mobile browsers
NPM Package for Blockscan Chat APIs
Notes for machine learning
A recommendation system filters information by predicting ratings or preferences of customers for items that the customers would like to use. It tries to recommend items to the customers according …