技能目录

为 AI Agent 发现可复用技能。

按任务搜索真实的 GitHub 技能,并在使用前查看 Stars、信任、审计、分类和安装路径。

每个推荐都保留与其仓库、审计和安装路径的明确关联。

搜索结果: bulk-labeling

英文目录

Label Studio is a multi-type data labeling and annotation tool with standardized output format

28K
Stars
87/100
信任
分类: ml-automation审计

Effortless data labeling with AI support from Segment Anything and other awesome models.

9.5K
Stars
86/100
信任
分类: document-processing审计

AnyCrawl 🚀: A Node.js/TypeScript crawler that turns websites into LLM-ready data and extracts structured SERP results from Google/Bing/Baidu/etc. Native multi-threading for bulk processing.

3.2K
Stars
83/100
信任
分类: data审计

Adala: Autonomous DAta (Labeling) Agent framework

1.6K
Stars
77/100
信任
分类: agent-frameworks审计

Easy-to-use data handling for SQL data stores with support for implicit table creation, bulk loading, and transactions.

4.9K
Stars
80/100
信任
分类: data-analysis审计

ccteam turns the coding agents you already run (Claude Code, Codex, Grok, Kimi…) into one team — any session can spawn, dispatch, and collect work from any vendor on any machine, while you steer it all from Telegram, Lark, or a browser tab. 把你在用的编程 agent 编成一支团队,跨厂商跨机器派活,Telegram/飞书/网页统一指挥。

160
Stars
75/100
信任
分类: utility审计

Xtreme1 is an all-in-one data labeling and annotation platform for multimodal data training and supports 3D LiDAR point cloud, image, and LLM.

1.2K
Stars
84/100
信任
分类: robotics-iot审计

Entity Framework EF Core efcore Bulk Batch Extensions with BulkCopy in .Net for Insert Update Delete Read (CRUD), Truncate and SaveChanges operations on SQL Server, PostgreSQL, MySQL, SQLite, Oracle

4.0K
Stars
73/100
信任
分类: data-analysis审计

A python library for multi omics included bulk, single cell and spatial RNA-seq analysis.

1.0K
Stars
84/100
信任
分类: geo-science审计

Effortless AI-assisted data labeling with AI support from YOLO, Segment Anything (SAM+SAM2/2.1+SAM3), MobileSAM!!

3.4K
Stars
83/100
信任
分类: robotics-iot审计

A curated collection of field-tested, reusable skills for Hermes Agent, covering operational workflows like inspect, diagnose, recover, migrate, and verify.

123
Stars
77/100
信任
分类: utility审计

Infer gene regulatory networks (GRNs) from gene expression data using scalable algorithms (GRNBoost2, GENIE3). Use when analyzing transcriptomics data (bulk RNA-seq, single-cell RNA-seq) to identify transcription factor-target gene relationships and regulatory interactions. Supports distributed computation for large-scale datasets.

34K
Stars
77/100
信任
分类: data-analysis审计