Figure Eight Alternatives [Page 5]

pgmpy [pgmpy] is a python library for working with graphical models that allows the user to create their own graphical models and answer inference or map queries over them.

Open Source

Nilearn is a Python module for fast and easy statistical learning on NeuroImaging data that leverages the scikit-learn Python toolbox for multivariate statistics.

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Spearmint is a software package to perform Bayesian optimization.

FlinkML is the Machine Learning (ML) library for Flink with a growing list of algorithms and contributors that aim to provide scalable ML algorithms.

Multi-Perceptron-NeuralNetwor is a Machine Learning that implemented multi-layer perceptrons neural network (MLP)and Back Propagation Neural Network (BPN).

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mlpack is a scalable machine learning library, written in C++.

Open Source

rapaio is a statistics, data mining and machine learning toolbox.

DEAP is an evolutionary computation framework for rapid prototyping and testing of ideas.

Framework that supports unified interface for data parallelization, hybrid data structure for big model storage, model scheduling etc.

PredictionBuilder is a library for machine learning that builds predictions using a linear regression.

LBJava is a modeling language for the rapid development of software systems with one or more learned functions.

Naive Bayesian Classifer in APL is a simple naive bayesian classifier to gain independent probabilistic assumptions on test input.