Feature/SOF-4277 - TensorMol and TensorFlow Docs

lang/en/docs/tutorials/python-packages/tensorflow-cpu.md

@@ -0,0 +1,44 @@
+# TensorFlow
+[TensorFlow](https://www.tensorflow.org/) is a powerful open-source machine learning platform geared towards neural networks.
+
+## Installation Instructions
+
+Although we do not yet have a module file available to run TensorFlow, it can easily be installed to your user environment.
+
+### Selecting Versions for Python and TensorFlow
+
+Keep in mind that TensorFlow's development is rapidly evolving, and thus its dependencies can suddenly change in new versions.
+We recommend checking the [official TensorFlow documentation](https://www.tensorflow.org/install/pip) to verify that the
+version of Python and version of TensorFlow selected are compatible with one-another. Further notes:
+
+  * [TensorFlow versions 1.X](https://pypi.org/project/tensorflow/1.15.5/) 
+ are only compatible with Python releases earlier than Python 3.7.
+  * Python 3.8 is only supported by [TensorFlow versions 2.2](https://www.tensorflow.org/install/pip) and later.
+
+### Creating a Virtual Environment
+
+To maximize predictibility and control over the python environment,
+we recommend using [PyEnv](/cli/actions/customize/#via-pyenv) to set up a Python virtual environment containing
+the desired version of Python.
+
+### Installing TensorFlow
+
+Once the desired version of Python has been installed, and its virtual environment has been activated, TensorFlow can
+be installed via pip:
+
+```bash
+python -m pip install tensorflow --no-cache-dir
+```
+
+Or, if a specific version of TensorFlow is desired (for example, version `2.4.1`):
+
+```bash
+python -m pip install "tensorflow==2.4.1" --no-cache-dir
+```
+
+On other occasions, versions which satisfy the condition of "Latest, but no later than version X" are desireable, such
+as in the case of [TensorMol](/software-directory/machine-learning/tensormol), which is incompatible with TensorFlow v2. This can be accomplished easily:
+
+```bash
+python -m pip install "tensorflow<2.0" --no-cache-dir
+```

lang/en/docs/tutorials/python-packages/tensormol-cpu.md

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+# TensorMol
+
+[TensorMol](https://github.com/jparkhill/TensorMol) is a machine learning toolkit geared towards materials science and
+chemistry.
+
+## Installation
+
+Although we do not currently support workflows of TensorMol in the web UI, TensorMol can be easily installed to the
+command line interface.
+
+### Selecting a Version of Python and TensorFlow
+
+TensorMol requires that the version of [TensorFlow](./tensorflow) used be released no later than v1. In other words,
+TensorFlow versions starting with 1 (such as version `1.15.5`) will be compatible, but TensorFlow versions beginning
+with 2 (such as `2.0.0` or `2.4.1`) will not be compatible with TensorMol.
+
+[Whichever version](https://pypi.org/project/tensorflow/#history) of TensorFlow is installed, we recommend checking that
+it is compatible with the desired version of Python. Mind, TensorFlow v1 does not support Python 3.8. In this guide, we
+will focus on installing **Python 3.6.12** and the **TensorFlow 1.15.5**.
+
+### Creating a Python Environment
+
+TensorMol depends on specific versions of TensorFlow, which in turn requires specific versionf of Python. For this
+reason, we recommend using [PyEnv](/cli/actions/customize/#via-pyenv) to install Python 3.6.12, along with a virtual
+environment to store the required packages.
+
+### Installing TensorMol's Dependencies
+
+TensorFlow version 1.15.5 can then be installed via Pip:
+
+```bash
+python -m pip install "tensorflow<2.0" --no-cache-dir
+```
+
+
+Next, SciPy must be installed as a prerequisite:
+
+```bash
+python -m pip install scipy --no-cache-dir
+```
+
+### Downloading and Building TensorMol
+
+TensorMol must be acquired from its [GitHub repository](https://github.com/jparkhill/TensorMol). We recommend creating
+a `repos` directory on one of the cluster nodes, such as the [AWS cluster](/infrastructure/cluster/aws/#cluster),
+cluster-001, as the clusters have more disk space than the login node:
+
+```bash
+cd ~/cluster-001
+mkdir repos
+git clone https://github.com/jparkhill/TensorMol.git
+```
+Once the repository is cloned, TensorMol can then be installed by going into its directory, and pip installing it. For 
+example, if TensorMol had been cloned into `~/cluster-001/repos/TensorMol`, the following commands would complete its
+installation:
+
+```bash
+cd ~/cluster-001/repos/TensorMol
+pip install -e .
+```

mkdocs.yml

@@ -152,6 +152,9 @@ nav:
             - Interpolated Sets:                     tutorials/materials/interpolated-sets.md
             - Molecule on a Surface:                 tutorials/materials/molecule-surface.md
             - Interface:                             tutorials/materials/slabs-interface.md
+        - Python Packages:
+            - TensorFlow (CPU):                      tutorials/python-packages/tensorflow-cpu.md
+            - TensorMol (CPU):                       tutorials/python-packages/tensormol-cpu.md
 
 
 # COMMON UI COMPONENTS