ml.js

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.

Top ml.js Alternatives

1

KRFuzzyCMeans-Algorithm

KRFuzzyCMeans implements the Fuzzy C-Means algorithm for clustering and classification within machine learning.

2

Spearmint

Spearmint is a robust software package that facilitates Bayesian optimization by automating experimental processes.

3

kNear

kNear is a JavaScript library that implements the k-nearest neighbors algorithm for supervised learning.

4

SwiftLearner

SwiftLearner is a Scala-based machine learning library designed for clarity and experimentation.

5

Feature Forge

Feature Forge offers a robust toolkit for crafting and validating machine learning features, seamlessly integrating with scikit-learn.

6

ToPS

ToPS is an advanced machine learning software that meticulously analyzes user feedback to enhance functionality and performance.

7

BIDMach

It requires JDK 8, NVIDIA CUDA 8.0, and CUDNN 5 for deep network applications...

8

Vulpes

Designed for Visual Studio, it efficiently processes the MNIST handwritten digit dataset through pretraining and...

9

AIToolbox

Designed for both macOS and iOS, it supports practical applications like image recognition through convolution...

10

LDA.js

It skillfully identifies multiple topics within documents, extracting relevant keywords while filtering out common terms...

11

Topik

Its high-level interface simplifies exploratory analysis of text datasets, featuring an easy callable function and...

12

metric-learn

This integration allows users to seamlessly utilize scikit-learn routines for pipelining and model selection, enhancing...

13

SuperLearner

It integrates user feedback for continuous improvement and provides extensive resources, including vignettes and academic...

14

Recommender

By analyzing both implicit and explicit user feedback, it identifies preference patterns to predict items...

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SimpleAI

Designed with a modern Pythonic approach, it emphasizes stability and maintainability, providing clear documentation and...

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.