A PyTorch toolbox for domain generalization, domain adaptation and semi-supervised learning.
benchmark-datasets 开源项目推荐(65 个)
benchmark-datasets 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 65 个仓库学习在无 3D 监督下从图像回归 3D 人脸形状与表情
RNNLG 是面向口语对话系统应用领域的自然语言生成(NLG)开源基准工具包。它由剑桥对话系统组的 Tsung-Hsien(Shawn)Wen 在 Apache License 2.0 下发布。
追踪来自 40 个公开来源的 42,331+ 条 AI 基准、评估、数据集和数据质量记录,附带关联证据并每日更新。
本文为我们的论文《没有数据能比得上更多数据》提供了补充材料。
This repository contains the collection of UCI (real-life) datasets and Synthetic (artificial) datasets (with cluster labels and MATLAB files) ready to use with clustering algorithms.
[OpenPAR] An open-source framework for Pedestrian Attribute Recognition, based on PyTorch
benchmark dataset and Deep learning method (Hierarchical Interaction Network, HINT) for clinical trial approval probability prediction, published in Cell Patterns 2022.
CDeC-Net: Composite Deformable Cascade Network for Table Detection in Document Images
Datasets to protect Earth's forests and biodiversity
This is the official repository for evaluation on the NoW Benchmark Dataset. The goal of the NoW benchmark is to introduce a standard evaluation metric to measure the accuracy and robustness of 3D face reconstruction methods from a single image under variations in viewing angle, lighting, and common occlusions.
Code Repository for: AIRTBench: Measuring Autonomous AI Red Teaming Capabilities in Language Models
Comprehensive voice cloning evaluation: seven automatic speech metrics and ready-to-use benchmark datasets. Score any model’s audio with Python or CLI.
Launched in March 2020 in response to the coronavirus disease 2019 (COVID-19) pandemic, COVID-Net is a global open source, open access initiative dedicated to accelerating advancement in machine learning to aid front-line healthcare workers and clinical institutions around the world fighting the continuing pandemic. Towards this goal, our global…
Official repository of IDEA-Bench
Repository for the paper "ViHOS: Vietnamese Hate and Offensive Spans Detection" (EACL2023)
Test your local LLMs on the AIME problems
Envision: Benchmarking Unified Understanding & Generation for Causal World Process Insights
[NAACL'25] Contains code and documentation for our VANE-Bench paper.
BenchTemp: A General Benchmark for Evaluating Temporal Graph Neural Networks
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/benchmark-datasets。
- 该话题在 GitHub 上共有 65 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 5093 Star,覆盖 3 种主要语言,数据更新于 2026-11-10。
- 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。