Run Logistic Regression, Linear Regression, Neural Network, Recurrent Neural Network, Sequence to Sequence Model in the interfact of Scikit-Learn.
No need for installation. Type
python seq2seq.py
to start training a Sequence to Sequence model. This model will map a sequence of polynomial coefficient to a sequence of polynomial roots. Similarly for other type of model, like Logistic Regression, or Vanilla Neural Network. It runs the model on MNIST dataset by default.
Demonstration of git