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BenchClaw
BenchClaw PublicBenchClaw是一套面向 Benchmark 构建、评测与维护的 Codex/OpenCode 技能工作流集合。它通过将流程拆为草案设计、数据采集、数据清洗、评测集构建、模型评测和诊断维护六个阶段，并为每阶段规定输入输出、质量门禁、目录契约、lineage 与回滚策略。其目标是让智能体从粗略 benchmark idea 出发，标准化、可复现、可审计地生成评测方案、数据、指标、结果和报告…
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Depth-Anything-V2
Depth-Anything-V2 PublicForked from DepthAnything/Depth-Anything-V2
[NeurIPS 2024] Depth Anything V2. A More Capable Foundation Model for Monocular Depth Estimation
Python
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data-juicer
data-juicer PublicForked from datajuicer/data-juicer
Data processing for and with foundation models! 🍎 🍋 🌽 ➡️ ➡️🍸 🍹 🍷
Python
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sam3
sam3 PublicForked from facebookresearch/sam3
The repository provides code for running inference and finetuning with the Meta Segment Anything Model 3 (SAM 3), links for downloading the trained model checkpoints, and example notebooks that sho…
Python
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Depth-Anything-3
Depth-Anything-3 PublicForked from ByteDance-Seed/Depth-Anything-3
Depth Anything 3
Python
Repositories
- ModelScope-CDM-IRT Public
EurecaAI/ModelScope-CDM-IRT’s past year of commit activity - VLMEvalKit Public Forked from open-compass/VLMEvalKit
Open-source evaluation toolkit of large multi-modality models (LMMs), support 220+ LMMs, 80+ benchmarks
EurecaAI/VLMEvalKit’s past year of commit activity - X-AnyLabeling Public Forked from CVHub520/X-AnyLabeling
Effortless data labeling with AI support from Segment Anything and other awesome models.
EurecaAI/X-AnyLabeling’s past year of commit activity - sam3 Public Forked from facebookresearch/sam3
The repository provides code for running inference and finetuning with the Meta Segment Anything Model 3 (SAM 3), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
EurecaAI/sam3’s past year of commit activity - data-juicer Public Forked from datajuicer/data-juicer
Data processing for and with foundation models! 🍎 🍋 🌽 ➡️ ➡️🍸 🍹 🍷
EurecaAI/data-juicer’s past year of commit activity - BenchClaw Public
BenchClaw是一套面向 Benchmark 构建、评测与维护的 Codex/OpenCode 技能工作流集合。它通过将流程拆为草案设计、数据采集、数据清洗、评测集构建、模型评测和诊断维护六个阶段，并为每阶段规定输入输出、质量门禁、目录契约、lineage 与回滚策略。其目标是让智能体从粗略 benchmark idea 出发，标准化、可复现、可审计地生成评测方案、数据、指标、结果和报告，并在失败时定位最小回滚点，形成流程诊断与技能修订闭环。
EurecaAI/BenchClaw’s past year of commit activity - Depth-Anything-V2 Public Forked from DepthAnything/Depth-Anything-V2
[NeurIPS 2024] Depth Anything V2. A More Capable Foundation Model for Monocular Depth Estimation
EurecaAI/Depth-Anything-V2’s past year of commit activity
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