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caffe

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  Analyzed about 20 hours ago

Caffe: a fast framework for deep learning. For the most recent version checkout the dev branch. For the latest stable release checkout the master branch.

76.3K lines of code

1 current contributors

about 4 years since last commit

3 users on Open Hub

Inactive
3.0
   
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Licenses: No declared licenses

april-ann

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  Analyzed about 9 hours ago

April-ANN toolkit (A Pattern Recognizer In Lua with Artificial Neural Networks). This toolkit incorporates ANN algorithms (as dropout, stacked denoising auto-encoders, convolutional neural networks), with other pattern recognition methods as hiddem makov models (HMMs) among others.

165K lines of code

0 current contributors

almost 8 years since last commit

1 users on Open Hub

Inactive
5.0
 
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incubator-singa

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  Analyzed 1 day ago

SINGA is a general distributed deep learning platform for training big deep learning models over large datasets. It is designed with an intuitive programming model based on the layer abstraction. A variety of popular deep learning models are supported, namely feed-forward models including ... [More] convolutional neural networks (CNN), energy models like restricted Boltzmann machine (RBM), and recurrent neural networks (RNN). Many built-in layers are provided for users. SINGA architecture is sufficiently flexible to run synchronous, asynchronous and hybrid training frameworks. SINGA also supports different neural net partitioning schemes to parallelize the training of large models, namely partitioning on batch dimension, feature dimension or hybrid partitioning. [Less]

87.6K lines of code

28 current contributors

about 1 month since last commit

0 users on Open Hub

Moderate Activity
0.0
 
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IDSIA Brainstorm

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  Analyzed about 18 hours ago

Fast, flexible and fun neural networks. Combining lessons from previous projects with new design elements, and written entirely in Python, Brainstorm has been designed to work on multiple platforms with multiple computing backends.

11.8K lines of code

0 current contributors

about 7 years since last commit

0 users on Open Hub

Inactive
0.0
 
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Chainer: A flexible framework of neural networks for deep learning.

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  Analyzed 1 day ago

A flexible framework of neural networks for deep learning.

267K lines of code

2 current contributors

over 1 year since last commit

0 users on Open Hub

Very Low Activity
0.0
 
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scikit-neuralnetwork

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  Analyzed about 2 hours ago

Deep neural networks without the learning cliff! Classifiers and regressors compatible with scikit-learn.

2.79K lines of code

0 current contributors

almost 8 years since last commit

0 users on Open Hub

Inactive
0.0
 
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