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RubixML

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  Analyzed about 3 hours ago

Rubix ML is a free open-source library for the PHP language that allows you to build programs that learn from your data. We provide tools for the entire machine learning life cycle from ETL to training, validation, and production with over 40 supervised and unsupervised learning algorithms.

44.5K lines of code

0 current contributors

2 months since last commit

4 users on Open Hub

Low Activity
0.0
 
0 Reviews
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Mostly written in PHP
Licenses: lgpl
Tags algorithms analytics anomaly-detection artificial-intelligence classification clustering data-mining data-science deep-learning experimental k-means k-nearest-neighbors 13 more...

eANN

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  Analyzed about 21 hours ago

eANN is an implementation of several kind of neural networks written with the intention of providing a (hopefully) easy to use, and easy to modify, OOP source code. It is possible to have several different sized networks running simultaneously, each functioning independently of the others or ... [More] acting as inputs between them. It also easy to modify the structure so that neurons (or even whole layers) can be created/pruned during simulation allowing dynamic expansion/contraction of the network. Networks Implemented: * Multi Layer Neural Network with Backpropagation * Competitive Neural Network * Radial Basis Neural Network * Progressive Radial Neural Network * Progressive Learning Neural Network [Less]

17.5K lines of code

1 current contributors

about 5 years since last commit

1 users on Open Hub

Inactive
0.0
 
0 Reviews
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Mostly written in Pascal
Licenses: gpl3
Tags delphi neural neuralnetwork neural-networks neural_networks neuralnetworks

MachineLearningCompphys

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  Analyzed 1 day ago

From linear regression towards neural networks...

5.08K lines of code

0 current contributors

3 months since last commit

1 users on Open Hub

Very Low Activity
0.0
 
0 Reviews
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Mostly written in C++
Licenses: GPL2
Tags classification logisticregression machine-learning neural-networks regression softmax

zeta-learn

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  Analyzed about 13 hours ago

zeta-learn is a minimalistic python machine learning library designed to deliver fast and easy model prototyping. zeta-learn aims to provide an extensive understanding of machine learning through the use of straightforward algorithms and readily implemented examples making it a useful resource for researchers and students.

6.25K lines of code

1 current contributors

over 3 years since last commit

0 users on Open Hub

Inactive
5.0
 
0 Reviews
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Mostly written in Python
Licenses: mit
Tags artificial-intelligence CNN deep-learning GRU kmeans LSTM machine-learning neural-networks numpy pca python regression 2 more...