Instructions from: https://medium.com/@danielwzou/installing-spacy-and-other-packages-without-sudo-or-root-privileges-using-anaconda-59571ec0ecad

First, navigate to your home directory.
module load anaconda/5.3.1py3
wget https://repo.continuum.io/miniconda/Miniconda3-latest-Linux-x86_64.sh
sh Miniconda3-latest-Linux-x86_64.sh
Now, we have a local installation of the Conda package manager at ~/miniconda3
Let’s add conda to our bash profile so that we can call it from the command line
vim .bash_profile
i
Add this line to the file:
export PATH=$HOME/miniconda3/bin:$PATH
esc :wq
Now, let’s reload our .bash_profile
source .bash_profile
And check that our installation was completed successfully
which conda
Which should return ~/miniconda3/bin/conda
Now that Conda is installed, we can install Spacy or other Python packages
conda install spacy
python -m spacy download en
Now, let’s make sure that Spacy is installed correctly
python
import spacy
nlp = spacy.load('en')
doc = nlp(u'Hello World!')
print([w.lemma_ for w in doc])
Now that you have Conda installed, you can use it to install many packages locally.

module load anaconda3/2019.07py3
 
This should have packages like the tensorflow env. You can find with this:
conda info --envs
 
>>>>> 
conda info --envs
# conda environments:
#
                         /sw/anaconda2/2019.07/envs/bio
                         /sw/anaconda2/2019.07/envs/bioinfoPy27
base                  *  /sw/anaconda3/2019.07
3point6                  /sw/anaconda3/2019.07/envs/3point6
R                        /sw/anaconda3/2019.07/envs/R
bioinformatics           /sw/anaconda3/2019.07/envs/bioinformatics
 
>>>>>>> 
This will give the packages in the base:
conda list
 
source activate 3point6
Next run: " conda list"
This will list the packages installed in that environment.
 
It shows among many others:
pytorch                   1.3.1           cuda100py36h53c1284_0
 
tensorboard               2.0.0              pyhb230dea_0
tensorflow                2.0.0           mkl_py36hef7ec59_0
tensorflow-base           2.0.0           mkl_py36h9204916_0
tensorflow-estimator      2.0.0              pyh2649769_0
termcolor                 1.1.0                      py_2    conda-forge
theano                    1.0.4           py36hf484d3e_1000    conda-forge
 
Remember this cluster has no GPU (currently)