ml and deeplearning-js
These are complements rather than direct competitors: ml.js provides foundational statistical and machine learning algorithms (linear regression, classification, clustering), while deeplearning-js builds neural network abstractions on top of lower-level tensor operations, allowing them to be used together in a complete ML pipeline.
About ml
mljs/ml
Machine learning tools in JavaScript
Bundles modular algorithms for classification, regression, clustering, and neural networks alongside supporting math utilities (matrix decompositions, distance metrics, optimization) into a single UMD bundle for browser environments. Distributed as individual npm packages prefixed with `ml-` for Node.js, allowing selective dependency installation while maintaining a unified API surface across supervised learning, unsupervised learning, and signal processing tasks.
About deeplearning-js
AlanWei/deeplearning-js
Deep learning framework in JavaScript
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