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: CUV

CUV: Matrix library for CUDA in C++ and Python Project Website: http://www.ais.uni-bonn.de/ Github Link: https://github.com/deeplearningais/CUV Description CUV is a C++ template and Python library which makes it easy to use NVIDIA(tm) CUDA. Features Supported Platforms: • This library was only … Continue reading

Open Source Deep Learning Project: CNTK

CNTK: Computational Network Toolkit Project Website: https://www.cntk.ai/ Github Link: https://github.com/Microsoft/CNTK Description Production-quality, Open Source, Multi-machine, Multi-GPU, Highly efficent RNN training, Speech, Image, Text CNTK (http://www.cntk.ai/), the Computational Network Toolkit by Microsoft Research, is a unified deep-learning toolkit that describes neural … Continue reading

Open Source Deep Learning Project: Gnumpy

Gnumpy Project Website: None Github Link: http://www.cs.toronto.edu/~tijmen/gnumpy.html Description Do you want to have both the compute power of GPU’s and the programming convenience of Python numpy? Gnumpy + Cudamat will bring you that. Gnumpy is a simple Python module that … Continue reading

Open Source Deep Learning Project: CUDAMat

CUDAMat: Python module for performing basic dense linear algebra computations on the GPU using CUDA Project Website: None Github Link: https://github.com/cudamat/cudamat Description The aim of the cudamat project is to make it easy to perform basic matrix calculations on CUDA-enabled … Continue reading

Open Source Deep Learning Project: EBLearn

EBLearn: Open Source C++ Machine Learning Library Project Website: http://eblearn.sourceforge.net/ Github Link: None Description Eblearn is an object-oriented C++ library that implements various machine learning models, including energy-based learning, gradient-based learning for machine composed of multiple heterogeneous modules. In particular, … 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: CXXNET

CXXNET is a fast, concise, distributed deep learning framework Project Website: CXXNet now move forward to MXNet Github Link: https://github.com/dmlc/cxxnet Description CXXNET is a fast, concise, distributed deep learning framework. Contributors: https://github.com/antinucleon/cxxnet/graphs/contributors Documentation Learning to use cxxnet by examples Note … Continue reading

Open Source Deep Learning Project: mshadow

mshadow: Matrix Shadow Project Website: None Github Link: https://github.com/dmlc/mshadow Description MShadow is a lightweight CPU/GPU Matrix/Tensor Template Library in C++/CUDA. The goal of mshadow is to support efficient, device invariant and simple tensor library for machine learning project that aims … 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