Open Source Deep Learning Project: ELEKTRONN

ELEKTRONN: A highly configurable toolkit for training 3d/2d CNNs and general Neural Networks Project Website: http://elektronn.org/ Github Link: https://github.com/ELEKTRONN/ELEKTRONN Description ELEKTRONN is a deep learning toolkit that makes powerful neural networks accessible to scientists outside of the machine learning community. … Continue reading

Open Source Deep Learning Project: ConvNet

ConvNet: Convolutional Neural Networks for Matlab Project Website: None Github Link: https://github.com/sdemyanov/ConvNet Description Convolutional Neural Networks for Matlab, including Invariang Backpropagation algorithm (IBP). Has versions for GPU and CPU, written on CUDA, C++ and Matlab. All versions work identically. The … Continue reading

Open Source Deep Learning Project: neuralnetworks

neuralnetworks: Deep Neural Networks with GPU support Project Website: None Github Link: https://github.com/ivan-vasilev/neuralnetworks Description This is a Java implementation of some of the algorithms for training deep neural networks. GPU support is provided via the OpenCL and Aparapi. The architecture … Continue reading

Open Source Deep Learning Project: deepmat

deepmat Project Website: None Github Link: https://github.com/kyunghyuncho/deepmat Description = Generative Stochastic Network = A simple implementation of GSN according to (Bengio et al., 2013) = Convolutional Neural Network = A naive implementation (purely using Matlab) Pooling: max (Jonathan Masci’s code) … Continue reading

Open Source Deep Learning Project: Deeplearning4J

Deeplearning4J: Neural Net Platform Project Website: http://deeplearning4j.org/ Github Link: https://github.com/deeplearning4j/deeplearning4j Description Deeplearning4j is the first commercial-grade, open-source, distributed deep-learning library written for Java and Scala. Integrated with Hadoop and Spark, DL4J is designed to be used in business environments on … Continue reading