ml.js
ml.js offers a collection of specialized machine learning tools tailored for JavaScript, primarily designed for browser use. It provides functions for handling data points with x and y coordinates, enabling users to merge, sort, and manage arrays effectively. Each npm package is prefixed with ml- for easy identification.
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Feature Forge
Feature Forge offers a robust toolkit for crafting and validating machine learning features, seamlessly integrating with scikit-learn.
ToPS
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BIDMach
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Vulpes
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LDA.js
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Topik
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metric-learn
This integration allows users to seamlessly utilize scikit-learn routines for pipelining and model selection, enhancing...
SuperLearner
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Recommender
By analyzing both implicit and explicit user feedback, it identifies preference patterns to predict items...
SimpleAI
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Top ml.js Features
- Browser-compatible ML library
- UMD format support
- Global ML variable access
- Easy npm package discovery
- Focused on JavaScript tools
- Weighted abscissa merging
- Max ordinate value retention
- Closest abscissa point retrieval
- Centroid-based merging
- Abscissa sorting functionality
- Unique abscissa enforcement
- Feedback-driven development approach
- Modular Node.js integration
- Extensive documentation available
- Active mljs community support
- Open-source MIT licensing
- Customizable dependency management
- Efficient data processing utilities
- In-browser machine learning capabilities.
