https://github.com/shi-yan/FreeWill

A deep learning library in C++/CUDA
https://github.com/shi-yan/FreeWill

cnn cuda deep-learning dnn machine-learning neural-network qt5

Last synced: about 1 year ago
JSON representation

A deep learning library in C++/CUDA

• Host: GitHub
• URL: https://github.com/shi-yan/FreeWill
• Owner: shi-yan
• License: gpl-3.0
• Created: 2015-05-28T03:33:55.000Z (about 11 years ago)
• Default Branch: master
• Last Pushed: 2018-09-14T06:50:00.000Z (almost 8 years ago)
• Last Synced: 2024-11-01T19:39:59.476Z (over 1 year ago)
• Topics: cnn, cuda, deep-learning, dnn, machine-learning, neural-network, qt5
• Language: JavaScript
• Homepage: http://freewill.readthedocs.org
• Size: 834 KB
• Stars: 79
• Watchers: 6
• Forks: 34
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

README

          
# FreeWill

![futurama freewill unit](splash.jpg)

![doc build badge](https://readthedocs.org/projects/freewill/badge/?version=latest)

FreeWill is a deeplearning library implemented in C++. The purpose of writing FreeWill is for me to understand deeplearning in detail. In addition to the library itself, I will try to write detailed document and examples.

The first goal of this project is matching https://github.com/karpathy/convnetjs feature wise.

## How to build

So far, I have only tested on Ubuntu 17.10

I have been avoiding introducing dependencies to this project, but you need to have Qt5 to use it.

Make sure you have also installed Qt5

To build:

    mkdir build

    cd build

    cmake .. -DCUDA_TOOLKIT_ROOT_DIR=/usr/local/cuda-9.2 -DCMAKE_PREFIX_PATH=/home/shiy/Qt/5.11.1/gcc_64 -DCMAKE_BUILD_TYPE=debug

An example of building FreeWill on Mac OS with complex compiler setup:

    cmake .. -DCMAKE_BUILD_TYPE=debug -DCMAKE_PREFIX_PATH=/Users/shiyan/Qt/5.7/clang_64 -DCMAKE_CXX_COMPILER=/Users/shiyan/gcc7/bin/g++ -DCMAKE_C_COMPILER=/Users/shiyan/gcc7/bin/gcc -DCUDA_HOST_COMPILER=/Library/Developer/CommandLineTools/usr/bin/clang

In this case, Qt 5.7 installed with Qt installer is used. A Self-built gcc7 is used to compile c++. [A down-graded clang 3.7 is used for cuda compiling, as the newer clang isn't supported by nvcc](https://github.com/arrayfire/arrayfire/issues/1384).