A Python library for end-to-end learning on surfaces. It implements pre-processing functions that include geodesic algorithms, neural network layers that operate on surfaces, visualization tools an…
This repository contains the Hu-CEMNIST dataset, a large-scale collection of human-generated counterfactual explanations (CFEs) for MNIST digits, together with the data collection interface and analysis code.
A Python library for end-to-end learning on surfaces. It implements pre-processing functions that include geodesic algorithms, neural network layers that operate on surfaces, visualization tools and benchmarking functionalities.
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