Machines are Among Us a.k.a mendax

Adversarial neural networks trained to identify each other in a simplified version of Among Us.

Requirements

All requirements should be listed within requirements.txt. We reccomend utilizing CUDA to speed up training time.

Run a training session

First, edit train.py for your desired hyperparameters/input and output sizes. Then, either call train() or grid_search() as desired. This should then start the training session with your desired options and begin printing the output. With gridsearch, ensure to edit the grid_search() method to perform your desired gridsearch. Finally, run `python 121q

Plot a session or grid search

Uncomment the desired plot type method within plot.py and change the parameters accordingly.