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: Nengo

The Nengo Neural Simulator Project Website: http://nengo.ca/ Github Link: None Description Nengo is a graphical and scripting based software package for simulating large-scale neural systems. The book How to build a brain, which includes Nengo tutorials, is now available. This … 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

Open Source Deep Learning Project: RNNLIB

RNNLIB Project Website: https://sourceforge.net/projects/rnnl/ Github Link: None Description RNNLIB is a recurrent neural network library for sequence learning problems. Applicable to most types of spatiotemporal data, it has proven particularly effective for speech and handwriting recognition. full installation and usage … Continue reading

Open Source Deep Learning Project: RNNLM

RNNLM – Tomas Mikolov’s Recurrent Neural Network based Language models Toolkit Project Website: http://rnnlm.org/ Github Link: None Description RNNLM Toolkit Neural network based language models are nowdays among the most successful techniques for statistical language modeling. They can be easily … Continue reading

Open Source Deep Learning Project: Chainer

Chainer: A Powerful, Flexible, and Intuitive Framework of Neural Networks Project Website: http://chainer.org/ Github Link: https://github.com/pfnet/chainer Description Chainer is a flexible framework for neural networks. One major goal is flexibility, so it must enable us to write complex architectures simply … Continue reading

Open Source Deep Learning Project: Lasagne

Lasagne: Lightweight library to build and train neural networks in Theano Project Website: http://lasagne.readthedocs.io/ Github Link: https://github.com/Lasagne/Lasagne Description Lasagne is a lightweight library to build and train neural networks in Theano. Its main features are: Supports feed-forward networks such as … Continue reading

Open Source Deep Learning Project: Blocks

Blocks: A Theano framework for building and training neural networks Project Website: None Github Link: https://github.com/mila-udem/blocks Description Blocks is a framework that helps you build neural network models on top of Theano. Currently it supports and provides: Constructing parametrized Theano … Continue reading