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delira

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  Analyzed 2 days ago

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

13.7K lines of code

12 current contributors

about 4 years since last commit

1 users on Open Hub

Inactive
0.0
 
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nervana_neon

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  Analyzed about 5 hours ago

Nervana's python based Deep Learning Framework

49.7K lines of code

4 current contributors

almost 5 years since last commit

0 users on Open Hub

Inactive
0.0
 
I Use This
Licenses: No declared licenses

CNTK

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  Analyzed 1 day 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

over 1 year 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 1 day ago

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

153K lines of code

2 current contributors

over 5 years since last commit

0 users on Open Hub

Inactive
0.0
 
I Use This
Licenses: No declared licenses