#计算机科学#☁️ 🚀 📊 📈 Evaluating state of the art in AI
CogDL: A Comprehensive Library for Graph Deep Learning (WWW 2023)
翻译 - CogDL：用于图形的广泛研究工具包
#自然语言处理#An automatic evaluator for instruction-following language models. Human-validated, high-quality, cheap, and fast.
Google Play game services - Android samples
Level-Up is a Laravel package introducing gamification into your applications. Users earn experience points (XP) and levels through interactions, while also unlocking achievements. It promotes engagem...
Visually Explore the Stanford Question Answering Dataset
#自然语言处理#Awesome-LLM-Eval: a curated list of tools, datasets/benchmark, demos, leaderboard, papers, docs and models, mainly for Evaluation on LLMs. 一个由工具、基准/数据、演示、排行榜和大模型等组成的精选列表，主要面向基础大模型评测，旨在探求生成式AI的技术边界.
#数据仓库#SKAB - Skoltech Anomaly Benchmark. Time-series data for evaluating Anomaly Detection algorithms.
#自然语言处理#A joint community effort to create one central leaderboard for LLMs.
#Awesome#A curated list of awesome leaderboard-oriented resources for foundation models
OpenXAI : Towards a Transparent Evaluation of Model Explanations
#Awesome#A leaderboard of the top open-source e-commerce platforms. Promoting the bests for building reliable stores.
#自然语言处理#A large-scale (194k), Multiple-Choice Question Answering (MCQA) dataset designed to address realworld medical entrance exam questions.
powerful Discord bot that includes XP system, Leaderboard, Music, Welcome and farewell message, Moderation, and much more!
The platform that MetaGame will be played on aka MetaOS - an open source framework for running decentralized societies. Currently featuring MyMeta Profiles, Dashboard & Quests
A Flutter plugin to support game center and google play games services.
Google play service, login, achievements, leaderboard.
#大语言模型#Hallucinations (Confabulations) Document-Based Benchmark for RAG
A pagination utility for MessageEmbed in Discord.JS
[ICCV 2021] InstanceRefer: Cooperative Holistic Understanding for Visual Grounding on Point Clouds through Instance Multi-level Contextual Referring