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
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
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
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
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
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
Caffe: Deep learning framework by the BVLC Project Website: http://caffe.berkeleyvision.org/ Github Link: https://github.com/BVLC/caffe Description Caffe is a deep learning framework made with expression, speed, and modularity in mind. It is developed by the Berkeley Vision and Learning Center (BVLC) and … Continue reading
maxnet: Flexible and Efficient Library for Deep Learning Project Website: http://mxnet.readthedocs.io/ Github Link: https://github.com/dmlc/mxnet Description MXNet is a deep learning framework designed for both efficiency and flexibility. It allows you to mix the flavours of symbolic programming and imperative programming … Continue reading