Jlearn Save
Machine Learning Library, written in J
Project README
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Machine Learning with J.
WIP Machine learning library, written in J. Various algorithm implementations, including MLPClassifiers, MLPRegressors, Mixture Models, K-Means, KNN, RBF-Network, Self-organizing Maps.
Implemented Algorithms
| Algorithm | Classification | Regression | Clustering | Pattern Matching / Completion | Other | Notes |
|---|---|---|---|---|---|---|
| Multilayer Perceptron | o | o | n/a | n/a | Batch SGD with choice of gradient optimizers. | |
| Gaussian Processes | x | o | n/a | n/a | ||
| RBF Network | o | o | n/a | n/a | ||
| Decision Tree | o | x | n/a | n/a | Regressor needs implementing. | |
| AdaBoost Ensemble | o | x | n/a | n/a | ||
| Gaussian Mixtures | n/a | n/a | o | n/a | ||
| K-means / K-medians | n/a | n/a | o | n/a | ||
| Hierarchical Clustering | n/a | n/a | o | n/a | Agglomerative clustering | |
| K-nearest Neighbours | n/a | n/a | o | n/a | ||
| DBSCAN | n/a | n/a | o | n/a | ||
| Kd-tree | o | x | o | n/a | ||
| Self-Organizing Maps | n/a | n/a | n/a | o | ||
| Hopfield Networks | n/a | x | n/a | o | ||
| Restricted Boltzmann Machines | o | n/a | n/a | o | Partial implementation. | |
| Convolutional Neural Networks | o | n/a | n/a | n/a | Experimental. 2D convolutions implemented. | |
| Recurrent Neural Networks | o | x | n/a | n/a | Experimental. LSTMs implemented. | |
| PCA / KPCA | n/a | n/a | n/a | n/a | o | Dimensionality reduction. |
| Genetic Algorithm Solver | n/a | n/a | n/a | n/a | o | Optimization. |
| Symbolic Regression Solver | n/a | n/a | n/a | n/a | o | Function estimation. |
Other features
Serialization
Models can be serialized to text files, with a mixture of text and binary packing. The size of the serialized file depends on the size of the model, but will probably range from 10 MB and upwards for NN models (including convnets and rec-nets).
Open Source Agenda is not affiliated with "Jlearn" Project. README Source: jonghough/jlearn
Stars
56
Open Issues
0
Last Commit
4 months ago
Repository
License
Tags
Clustering
Convolutional Neural Networks
Deep Learning
Ensemble Learning
Gaussian Mixture Models
Gaussian Processes
Hierarchical Clustering
J
K Means
Knn Classifier
Learning
Lstm
Machine Learning
Multilayer Perceptron Network
Principal Component Analysis
Rbm
Restricted Boltzmann Machines
Self Organizing Map
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