16 tagged classification, measured the same way as everything else here.
Browse within: machine-learning 5
Skill Claude CodeCodex
Audit README.md and docs/ for accuracy. Runs every documented code example, checks links, anchors, and prose rules, and verifies the CLI examples against the built gem. Use when documentation changes, before a release, or when the user asks to check the docs, verify code samples, or confirm the examples still work.
Skill Claude CodeCodex
Use when: User asks to classify text, detect spam, analyze sentiment, detect emotions, or use pre-trained ML models.
Skill Claude CodeCodex
Use when the user wants to train, validate, predict, track, export, benchmark, tune, inspect, or orchestrate YOLO-Master / Ultralytics experiments in this repository, including LoRA, MoE, multimodal inference/evaluation, and solutions workflows.
Skill Claude CodeCodex
Decompose any text into classified semantic units — authority, risk, attention, entities. No LLM. Deterministic.
Skill Claude CodeCodex
Query 1,000+ global classification systems (NAICS, ISIC, NACE, HS, ICD, SOC, ISCO, CPC, UNSPSC, and more) with 1.3M+ nodes and 326K+ crosswalk edges. Classify businesses, products, occupations, diseases, or documents under standard codes. Translate codes across country and system boundaries. Every one of the 434…
aeren23/image-processing-skills
Skill Claude CodeCodex
YOLO detection, segmentation, classification, and pose estimation setup, training workflow, evaluation metrics, and XAI verification.
Skill Claude CodeCodex
Systematic ML model evaluation — metrics, benchmarks, and error analysis.
Skill Claude CodeCodex
A machine-learning toolkit covering common methods for classification, prediction, grouping, dimensionality reduction, data preparation, and model evaluation. Classification predicts categories, regression predicts numbers, and clustering groups similar records.