SwiftLearner

SwiftLearner

Simple, hackable classic ML algorithms for learning and prototyping.

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About SwiftLearner

SwiftLearner is a lightweight library of simply written machine learning algorithms, designed to be easily understandable, modifiable, and suitable for experimentation and prototyping. Targeted at developers, students, and enthusiasts who want to learn about or quickly prototype classic ML approaches, it features basic algorithms like perceptron, backpropagation, k-NN, k-means, Naive Bayes, Softmax regression, and genetic algorithms, all implemented in plain Java types with minimal dependencies. Ideal for education, prototyping, and small dataset experiments, but less suited for large-scale production use.

Pricing Plans
Open Source
$0

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