active-learning-system
CommunityOptimize ML with human-in-the-loop.
Software Engineering#machine learning#active learning#data annotation#labeling#model optimization#uncertainty sampling
AuthorNir-Bhay
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill streamlines the machine learning process by intelligently selecting the most informative data points for human annotation, significantly reducing labeling costs and improving model performance.
Core Features & Use Cases
- Uncertainty Sampling: Automatically identifies data points where the model is least confident.
- Query by Committee: Leverages multiple models to find areas of disagreement, indicating valuable learning opportunities.
- Performance Monitoring: Tracks model accuracy gains against annotation effort to ensure efficiency.
- Use Case: A medical imaging company has a large dataset of scans but limited expert annotators. This Skill can be used to present only the most ambiguous scans to radiologists, maximizing the impact of their time and improving the diagnostic AI's accuracy faster.
Quick Start
Use the active-learning-system skill to query and update the model with a batch size of 10.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: active-learning-system Download link: https://github.com/Nir-Bhay/markups/archive/main.zip#active-learning-system Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
Agent Skills Search Helper
Install a tiny helper to your Agent, search and equip skill from 223,000+ vetted skills library on demand.