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: classifier

英文目录

Collection of scripts to aggregate image data for the purposes of training an NSFW Image Classifier

13K
Stars
71/100
信任
分类: ml-automation审计

This skill should be used for time series machine learning tasks including classification, regression, clustering, forecasting, anomaly detection, segmentation, and similarity search. Use when working with temporal data, sequential patterns, or time-indexed observations requiring specialized algorithms beyond standard ML approaches. Particularly suited for univariate and multivariate time series analysis with scikit-learn compatible APIs.

34K
Stars
80/100
信任
分类: research审计

A real-time method that estimates the 3D human pose directly in the popular Bio Vision Hierarchy (BVH) format, given estimations of the 2D body joints originating from monocular color images. Our contributions include: (a) A novel and compact 2D pose NSRM representation. (b) A human body orientation classifier and an ensemble of orientation-tuned

941
Stars
68/100
信任
分类: robotics-iot审计

Ultra-lightweight (600KB) Face Anti-Spoofing classifier. Optimized MiniFASNetV2-SE implementation validated on 70k+ samples with ~98% accuracy for edge devices.

233
Stars
69/100
信任
分类: robotics-iot审计

A flexible, adaptive classification system for dynamic text classification

564
Stars
66/100
信任
分类: rag-knowledge审计

collections of data science, machine learning and data visualization projects with pandas, sklearn, matplotlib, tensorflow2, Keras, various ML algorithms like random forest classifier, boosting, etc

595
Stars
65/100
信任
分类: data-analysis审计

A simple emoji classifier for humans. 🖖

498
Stars
61/100
信任
分类: robotics-iot审计

Diffusion Classifier leverages pretrained diffusion models to perform zero-shot classification without additional training

490
Stars
59/100
信任
分类: ml-automation审计

Wrapper for a PyTorch classifier which allows it to output prediction sets. The sets are theoretically guaranteed to contain the true class with high probability (via conformal prediction).

257
Stars
62/100
信任
分类: robotics-iot审计

Caffe codes for our papers "Multiple Instance Detection Network with Online Instance Classifier Refinement" and "PCL: Proposal Cluster Learning for Weakly Supervised Object Detection".

216
Stars
62/100
信任
分类: robotics-iot审计

Auxiliary Classifier Generative Adversarial Networks in Keras

213
Stars
57/100
信任
分类: robotics-iot审计