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