header only, dependency-free deep learning framework in C++14

MACE is a deep learning inference framework optimized for mobile heterogeneous computing platforms.

Solutions for the book: Cracking the coding interview V4. Written in C++.

The source code for the appendix part of the Chinese version of the book Coding Interviews

Kids Is Data Stream

Matrix Shadow:Lightweight CPU/GPU Matrix and Tensor Template Library in C++/CUDA for (Deep) Machine Learning

Minerva: a fast and flexible tool for deep learning on multi-GPU. It provides ndarray programming interface, just like Numpy. Python bindings and C++ bindings are both available. The resulting code…

Distributed training framework with parameter server