:cloud::rocket::bar_chart::chart_with_updates_trend:评估人工智能的最新水平
leaderboard 开源项目推荐(1,823 个)
leaderboard 话题在 GitHub 上没有填写简介,这里按 Star 数汇总最相关的热门仓库。
热门项目 前 20
按 Star 数排序展示前 20 个 · GitHub 共 1,823 个仓库An automatic evaluator for instruction-following language models. Human-validated, high-quality, cheap, and fast.
CogDL: A Comprehensive Library for Graph Deep Learning (WWW 2023)
ClawProBench is a live-first benchmark harness for evaluating LLM agents in the OpenClaw runtime with deterministic grading and repeated-trial reliability.
Level-Up 是一个 Laravel 软件包,将游戏化引入你的应用中。用户通过互动获得经验值(XP)和等级,同时解锁成就。它通过动态排行榜功能促进参与、竞争和乐趣。可根据你的具体需求进行定制
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.
Visually Explore the Stanford Question Answering Dataset
Polymarket 的纸币交易模拟器——专为人工智能代理打造。MCP服务器、实时订单簿、策略回测。安装:npx clawhub 安装 polymarket-paper-trader
SKAB - Skoltech Anomaly Benchmark. Time-series data for evaluating Anomaly Detection algorithms.
A curated list of awesome leaderboard-oriented resources for AI domain
A reproducibility lab for trading AI: published RL and LLM trading claims re-tested under a pre-registered protocol, with a causal benchmark and a live track.
JevBench by Benchmark Heaven: benchmark and leaderboard for AI decision models, measuring typed decision accuracy, calibration, latency and cost.
Official Problem Sets / Reference Kernels for the GPU MODE Leaderboard!
The ICPC Series Competition Leaderboard Visualization Engine
A joint community effort to create one central leaderboard for LLMs.
A large-scale (194k), Multiple-Choice Question Answering (MCQA) dataset designed to address realworld medical entrance exam questions.
Discover the best developers — and become one. Drop a GitHub handle for a 0–100 value & trust score in 30s: see your gaps, discover top devs, get found. Exposes PR farmers, AI bots & fork-hoarders. Deterministic scoring, self-hostable.
AI 大模型世界,把 556 个大模型拟人化成像素小人的可视化站点。进来就能看到此刻谁最聪明、谁最会写代码、谁最便宜、谁刚发布,往下是国内与国外分区的厂商广场、完整的发布时间线和多维排行榜。搜索认模型名、厂商和能力,输入「多模态」会直接列出全部多模态模型。数据取自 Epoch AI、models.dev、LiveBench 与 Hugging Face,每小时自动同步,所有文案由真实数据生成,不调用任何 LLM。Next.js 静态导出,零后端。
OpenXAI : Towards a Transparent Evaluation of Model Explanations
Hallucinations (Confabulations) Document-Based Benchmark for RAG. Includes human-verified questions and answers.
关于这个话题
- 清单取自 GitHub 话题页并按 Star 数排序,每次展示前 20 个项目;原始页面见 https://github.com/topics/leaderboard。
- 该话题在 GitHub 上共有 1,823 个仓库, 本站收录的是其中最热门的 20 个,不是全量列表。
- Star / Fork 每日自动刷新一次,实时数据以 GitHub 为准。
- 当前 20 个项目累计 1.3 万 Star,覆盖 7 种主要语言,数据更新于 2026-11-07。
- 中文介绍来自 GitHub 官方话题说明(github/explore)的机器翻译,可点「查看原文」对照;译文缺失时会先展示原文。