GaMorNet classifies galaxies morphologically using a Convolutional Neural Network. The code does not need a large amount of training data, as it is trained on simulations and then transfer-learned on a small portion of real data, and can be applied on multiple datasets. The software has a misclassification rate of less than 5%. GaMorNet is written in Python and uses the Keras and TFLearn deep learning libraries to perform all of the machine learning operations. Both these aforementioned libraries in turn use TensorFlow for their underlying tensor operations.