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University of Twente
- Enschede, The Netherlands
Stars
PIP-Net: Patch-based Intuitive Prototypes Network for Interpretable Image Classification (CVPR 2023)
Always sparse. Never dense. But never say never. A Sparse Training repository for the Adaptive Sparse Connectivity concept and its algorithmic instantiation, i.e. Sparse Evolutionary Training, to b…
ProtoTrees: Neural Prototype Trees for Interpretable Fine-grained Image Recognition, published at CVPR2021
A Python implementation of global optimization with gaussian processes.
FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.
Implementation of Conditional Neural Networks in Pytorch.
PMLB: A large, curated repository of benchmark datasets for evaluating supervised machine learning algorithms.
Code and documentation for experiments in the TreeExplainer paper
Code for AAAI 2018 accepted paper: "Beyond Sparsity: Tree Regularization of Deep Models for Interpretability"
Latex code for making neural networks diagrams
Interpreting CNN Knowledge via an Explanatory Graph
Contrastive Explanation (Foil Trees), developed at TNO/Utrecht University