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: cell-type-classification

英文目录

Cognee is the open-source AI memory platform for agents. Give your AI agents persistent long-term memory across sessions with a self-hosted knowledge graph engine.

30K
Stars
87/100
信任
分类: rag-knowledge审计

A comprehensive collection of ready-to-use scientific and research skills for AI agents.

31K
Stars
78/100
信任
分类: utility审计

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

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.

18K
Stars
87/100
信任
分类: ml-automation审计

Generate type-safe code from SQL

18K
Stars
81/100
信任
分类: data-analysis审计

A type-safe TypeScript SQL query builder

14K
Stars
77/100
信任
分类: data-analysis审计

Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.

13K
Stars
87/100
信任
分类: ml-automation审计

A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.

9.0K
Stars
86/100
信任
分类: ml-automation审计

Performant type-checking for python.

7.2K
Stars
81/100
信任
分类: development审计

🐼 Universal, Type-Safe, CSS-in-JS Framework for Design Systems ⚡️

6.1K
Stars
81/100
信任
分类: design-creative审计

Vendor-agnostic orchestration for training, inference and agentic workloads across NVIDIA, AMD, TPU, and Tenstorrent on clouds, Kubernetes, and bare metal.

2.2K
Stars
85/100
信任
分类: agent-skills审计

A Python toolkit/library for reality-centric machine/deep learning & data mining on partially-observed time series, with 50+ SOTA neural network models for scientific analysis tasks (imputation, classification, clustering, forecasting, anomaly detection, cleaning) on incomplete industrial irregularly-sampled multivariate TS with NaN missing values

2.0K
Stars
83/100
信任
分类: data-analysis审计