☁️ 🚀 📊 📈 Evaluating state of the art in AI
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Updated
Sep 10, 2024 - Python
☁️ 🚀 📊 📈 Evaluating state of the art in AI
CogDL: A Comprehensive Library for Graph Deep Learning (WWW 2023)
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 engagement, competition, and fun through its dynamic leaderboard feature. Customisable to fit your specific needs
Visually Explore the Stanford Question Answering Dataset
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.
SKAB - Skoltech Anomaly Benchmark. Time-series data for evaluating Anomaly Detection algorithms.
A curated list of awesome leaderboard-oriented resources for foundation models
A joint community effort to create one central leaderboard for LLMs.
OpenXAI : Towards a Transparent Evaluation of Model Explanations
A leaderboard of the top open-source e-commerce platforms. Promoting the bests for building reliable stores.
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.
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
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