Transformational measures allow to quantify the relationship between transformations of the inputs to neural networks and their outputs or intermediate representations.

In particular

### Measuring transformation (in)variances in Neural Networks

Measures of invariance to transformations such as rotations, scaling and translation for Deep Neural Networks

### Transformational Measures Experiments

Experiments to measure invariance of various well-known CNN architectures such as VGG, ResNet and AllConvolutional, on datasets CIFAR10 and MNIST.

### Transformational Measures for Neural Networks - PyTorch Library

A library to compute easily compute Transformation Measures for PyTorch Models.

### Transformational Measures for Neural Networks - Keras/TensorFlow Library

A library to compute easily compute Transformation Measures for Keras/Tensorflow Models.