Add pylint github action

[fgypas]

Pylint GitHub action. Current threshold (0.5)

[fgypas]

Note for me:
mamba create --name scar_test --override-channels cudatoolkit=11.1 pytorch=1.10 torchvision torchaudio tqdm pandas seaborn tensorboard scikit-learn anndata scanpy pyro-ppl --channel nvidia --channel pytorch --channel conda-forge

[fgypas]

The following example:

import pandas as pd
import scAR
from scAR.main._scAR import model

raw_ADT = pd.read_csv('raw_count.csv', index_col=0)
ambient_profile = pd.read_csv('ambient_profile.csv', index_col=0)

scarObj = model(raw_count=raw_ADT, empty_profile=ambient_profile, scRNAseq_tech='CITEseq', model='binomial')

scarObj.train(epochs=10, batch_size=64)

scarObj.inference()

Works fine and gives the following log:

..Running VAE using the following param set:
......scAR mode:  CITEseq
......count model:  binomial
......num_input_feature:  32
......NN_layer1:  150
......NN_layer2:  100
......latent_space:  15
......dropout_prob:  0
......kld_weight:  1e-05
......lr:  0.001
......lr_step_size:  5
......lr_gamma:  0.97
===========================================
  Training.....
100%|███████████████████████████████████████████████████████████████████████████████████████████████████████████| 10/10 [00:15<00:00,  1.56s/it]
===========================================