[Python] Building wheels for collected packages very slow and memory demanding. Can I skip it?

I have this setup.py file for my project and I am running Anaconda3 with Python3.7:

from setuptools import setup, find_packages
from setuptools.command.install import install as InstallCommand


def parse_requirements(requirements):
with open(requirements) as f:
return [l.strip('\n') for l in f if l.strip('\n') and not l.startswith('#')]


class Install(InstallCommand):
""" Customized setuptools install command which uses pip. """

def run(self, *args, **kwargs):
from pip._internal import main as _main
_main(['install', '.'])
InstallCommand.run(self, *args, **kwargs)


setup(
name="NGF",
author="Ties van Rozendaal",
author_email="git@tivaro.nl",
maintainer="Thomas Evangelidis",
maintainer_email="tevang3@gmail.com",
description="\n*** An implementation of Convolutional Networks on Graphs for Learning Molecular Fingerprints in Keras 2.x. ***\n",
long_description="Read the README.md file.",
url="https://github.com/iwatobipen/keras-neural-graph-fingerprint",
license="MIT.",
version="1.0",
platforms="Unix",
dependency_links=[],
cmdclass={
'install': Install,
},
packages=find_packages(where='.', exclude=()),
# package_dir={'':'dev'},
install_requires=parse_requirements('requirements.txt')
)


The contents of requirements.txt file are:

pip==19.0.3
tensorflow==1.13.1
setuptools==40.8.0
Keras==2.2.4
numpy==1.16.2


When I do:

pip install <project dir>/


Python builds some huge wheels which take ages to finish and eventually consume all the memory! I don't know what exactly it does, perhaps it builds wheels for tensorflow and Keras which as massive packages in C++ with Python wrappers. All I want is pip to check if the required modules are installed, and if not, to install them, and then copy the python files of my project to ~/Anaconda3/lib/python3.7/site-packages/. So simple! How can I do that?

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