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.
Visit SwiftLearner's official website for product details and getting started.
Community discussions and troubleshooting for common problems encountered with SwiftLearner.