This project aims to provide some handy toolkit functions to help construct the architecture. Full documentation here.
pip install longling
clone the repository and then run pip install .
:
git clone https://github.com/tswsxk/longling.git
cd longling
pip install .
Due to the possible multi version of deep learning frameworks like
mxnet(for cpu) and mxnet-cu90(for gpu, with cuda version 9.0),
it is good to install such frameworks in advance.
For swift installation, use --no-dependencies
option as follows:
# pip
pip install longling --no-dependencies
# source
python setup.py install --no-dependencies
Due to the potential compile error in windows, some required package may not be installed as expected. To deal with this issue, pre-compiled binaries are advised. You can go to lfd.uci.edu/~gohlke/pythonlibs and download the required packages.