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GitHub / mljs / ml
Machine learning tools in JavaScript
JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mljs%2Fml
Stars: 2,510
Forks: 207
Open Issues: 26
License: mit
Language: JavaScript
Repo Size: 8.34 MB
Dependencies:
68
Created: over 9 years ago
Updated: 12 days ago
Last pushed: 4 months ago
Last synced: 10 days ago
Topics: javascript, machine-learning, ml
Files
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Readme
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Dependencies
- csvtojson ^1.1.7
- libsvm-js ^0.1.1
- ml-knn ^2.1.0
- ml-logistic-regression ^1.0.2
- ml-matrix ^5.0.0
- ml-naivebayes ^2.0.0
- ml-pca ^2.1.0
package.json
npm
- @babel/plugin-transform-modules-commonjs ^7.16.8 development
- @types/jest ^27.4.1 development
- cheminfo-build ^1.1.11 development
- eslint ^8.10.0 development
- eslint-config-cheminfo ^7.2.2 development
- esm ^3.2.25 development
- jest ^27.5.1 development
- prettier ^2.5.1 development
- rollup ^2.69.2 development
- binary-search ^1.3.6
- ml-array-max ^1.2.4
- ml-array-mean ^1.1.6
- ml-array-median ^1.1.6
- ml-array-min ^1.2.3
- ml-array-mode ^1.1.5
- ml-array-normed ^1.3.7
- ml-array-rescale ^1.3.7
- ml-array-sequential-fill ^1.1.8
- ml-array-standard-deviation ^1.1.8
- ml-array-sum ^1.1.6
- ml-array-variance ^1.1.8
- ml-array-xy-centroids-merge ^1.0.2
- ml-array-xy-covariance ^0.2.1
- ml-array-xy-equally-spaced ^1.2.1
- ml-array-xy-filter-x 1.0.2
- ml-array-xy-max-merge ^1.0.2
- ml-array-xy-max-y ^1.0.2
- ml-array-xy-sort-x ^1.0.2
- ml-array-xy-weighted-merge ^1.0.2
- ml-arrayxy-closestx ^2.0.2
- ml-arrayxy-uniquex ^1.0.2
- ml-bit-array ^1.0.0
- ml-cart ^2.1.1
- ml-confusion-matrix ^0.4.0
- ml-cross-validation ^1.3.0
- ml-distance ^3.0.0
- ml-distance-matrix ^2.0.1
- ml-fcnnls ^1.1.1
- ml-fnn ^5.0.0
- ml-gsd ^10.1.2
- ml-hash-table ^1.0.0
- ml-hclust ^3.1.0
- ml-kernel ^3.0.0
- ml-kmeans ^5.0.0
- ml-knn ^3.0.0
- ml-levenberg-marquardt ^4.1.0
- ml-matrix ^6.9.0
- ml-naivebayes ^4.0.0
- ml-ngmca ^1.0.0
- ml-pad-array ^2.0.0
- ml-pca ^4.0.2
- ml-performance ^0.2.0
- ml-pls ^4.1.1
- ml-random ^0.5.0
- ml-random-forest ^2.1.0
- ml-regression ^5.0.0
- ml-savitzky-golay ^5.0.0
- ml-som ^0.0.6
- ml-sparse-matrix ^2.1.0
- ml-xsadd ^2.0.0
- num-sort ^3.0.0