You can install everything from the PyPI repository using pip install -e . but Tensorflow will most likely not install. A safer way would be to use conda to setup most of the packages then use pip to install.

1. Git clone and activate your environment of choice.
2. Install tensorflow.
3. pip install -e .

1. Git clone this repo git clone https://github.com/hansenlab/mNSF/ and enter cd mNSF.
2. Install conda. I recommend this distribution: https://github.com/conda-forge/miniforge. Do not install the full anaconda, it's highly bloated.
3. Create a new environment and install using

conda env create -n mnsf -f environment.yml
conda activate mnsf

The package should be available right away.

3. Install tensorflow.

conda install tensorflow

conda install tensorflow-gpu

This package is managed by twine. Assuming twine is installed in your python version, you build the distribution by

python setup.py sdist

inside the repository directory, and then you upload to PyPI by

twine upload dist/*

(requires an account on PyPI)