diff --git a/README.md b/README.md
index 984b97b..94c1e7a 100755
--- a/README.md
+++ b/README.md
@@ -1 +1 @@
-As I draft my implementation, the source for that will go here
\ No newline at end of file
+A crafty implementation of Google's [MorphNet](https://arxiv.org/abs/1711.06798) (and derivative iterations) in PyTorch.
\ No newline at end of file
diff --git a/setup.cfg b/setup.cfg
new file mode 100644
index 0000000..224a779
--- /dev/null
+++ b/setup.cfg
@@ -0,0 +1,2 @@
+[metadata]
+description-file = README.md
\ No newline at end of file
diff --git a/setup.py b/setup.py
new file mode 100644
index 0000000..788f926
--- /dev/null
+++ b/setup.py
@@ -0,0 +1,41 @@
+from distutils.core import setup
+
+
+with open("README.md", "r") as fh:
+    long_description = fh.read()
+
+setup(
+    name='morph-py',  # How you named your package folder (MyLib)
+    packages=['morph'],  # Chose the same as "name"
+    # Start with a small number and increase it with every change you make
+    version='0.0.2-alpha',
+    # Chose a license from here: https://help.github.com/articles/licensing-a-repository
+    license='GNU',
+    # Give a short description about your library
+    description='Automate the refinement of your neural network architecture',
+    long_description=long_description,
+    author='Stephen Fox',  # Type in your name
+    author_email='stevethecoder34@gmail.com',  # Type in your E-Mail
+    # Provide either the link to your github or to your website
+    url='https://github.com/stephenjfox/Morph.py',
+    # I explain this later on
+    download_url='https://github.com/stephenjfox/Morph.py/archive/v0.0.1.tar.gz',
+    keywords=[
+        'machine learning', 'deep learning', 'nas', 'architecture',
+        'neural networks'
+    ],
+    install_requires=[  # I get to this in a second
+        'torch',
+        'numpy',
+        'torchvision',
+    ],
+    classifiers=[
+        'Development Status :: 3 - Alpha',  # either "3 - Alpha", "4 - Beta" or "5 - Production/Stable" as the current state of your package
+        'Intended Audience :: Developers',  # Define that your audience are developers
+        'Intended Audience :: Science/Research',
+        'Topic :: Software Development :: Build Tools',
+        'License :: OSI Approved :: MIT License',  # Again, pick a license
+        'Programming Language :: Python :: 3.6',
+        'Programming Language :: Python :: 3.7',
+    ],
+)