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Keras

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  Analyzed 7 months ago

Deep Learning library for Python. Convnets, recurrent neural networks, and more. Keras is a minimalist, highly modular neural networks library, written in Python and capable of running either on top of either TensorFlow or Theano. It was developed with a focus on enabling fast experimentation. ... [More] Use Keras if you need a deep learning library that: - allows for easy and fast prototyping (through total modularity, minimalism, and extensibility). - supports both convolutional networks and recurrent networks, as well as combinations of the two. - supports arbitrary connectivity schemes (including multi-input and multi-output training). - runs seamlessly on CPU and GPU. [Less]

159K lines of code

122 current contributors

7 months since last commit

7 users on Open Hub

Activity Not Available
0.0
 
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delira

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  Analyzed about 6 hours ago

Lightweight framework for fast prototyping and training deep neural networks with PyTorch and TensorFlow

13.7K lines of code

12 current contributors

almost 3 years since last commit

1 users on Open Hub

Inactive
0.0
 
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cnnlib

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  No analysis available

Comming soon ;-) If you use CNNLIB for your research, please cite it with the following reference: @misc{cnnlib, author = {Daniel Strigl and Klaus Kofler}, title = {CNNLIB: A library for fast convolutional neural network training and classification.}, howpublished = {http://code.google.com/p/cnnlib} }

0 lines of code

0 current contributors

0 since last commit

0 users on Open Hub

Activity Not Available
0.0
 
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Mostly written in language not available
Licenses: gpl3_or_l...

nervana_neon

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  Analyzed 1 day ago

Nervana's python based Deep Learning Framework

49.7K lines of code

4 current contributors

over 3 years since last commit

0 users on Open Hub

Inactive
0.0
 
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Licenses: No declared licenses

cnnplus

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  No analysis available

Comming soon ;-) If you use the cnnplus library for your research, please cite it with the following reference: @misc{cnnplus, author = {Daniel Strigl and Klaus Kofler}, title = {cnnplus: A library for fast convolutional neural network training and classification.}, howpublished = {http://code.google.com/p/cnnplus} }

0 lines of code

0 current contributors

0 since last commit

0 users on Open Hub

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0.0
 
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Mostly written in language not available
Licenses: gpl3_or_l...

CNTK

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  Analyzed about 14 hours ago

CNTK (Computational Network Toolkit) by Microsoft Research, is a unified deep-learning toolkit that describes neural networks as a series of computational steps via a directed graph. In this directed graph, leaf nodes represent input values or network parameters, while other nodes represent matrix ... [More] operations upon their inputs. CNTK allows to easily realize and combine popular model types such as feed-forward DNNs, convolutional nets (CNNs), and recurrent networks (RNNs/LSTMs). It implements stochastic gradient descent (SGD, error backpropagation) learning with automatic differentiation and parallelization across multiple GPUs and servers. [Less]

327K lines of code

26 current contributors

2 months since last commit

0 users on Open Hub

Very Low Activity
0.0
 
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Licenses: No declared licenses

tiny-cnn

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  Analyzed 2 days ago

header only, dependency-free deep learning framework in C++11

153K lines of code

2 current contributors

about 4 years since last commit

0 users on Open Hub

Inactive
0.0
 
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Licenses: No declared licenses