4 results found Sort:

keisen
tf-keras-vis keisen
46
320
mit
8
Neural network visualization toolkit for tf.keras
xai keras python gradcam grad-cam saliency keras-vis score-cam tensorflow xai-library deep-learning saliency-maps visualization explainability explainable-ai explainable-ml gradcam-plus-plus keras-visualization activation-maximization
Created 2019-10-31
395 commits to master branch, last one 9 months ago
rachtibat
zennit-crp rachtibat
17
120
other
7
An eXplainable AI toolkit with Concept Relevance Propagation and Relevance Maximization
crp lrp zennit attribution deep-learning explainable-ai relevance-maximization activation-maximization interpretable-machine-learning
Created 2022-06-07
124 commits to master branch, last one 6 months ago
hans66hsu
nn_interpretability hans66hsu
19
112
mit
3
Pytorch implementation of various neural network interpretability methods
lrp gradcam pytorch deeplift deconvnet deepdream smoothgrad saliency-map interpretable cnn-visualization nn-interpretability integrated-gradients taylor-decomposition occlusion-sensitivity gradient-visualization guided-backpropagation activation-maximization interpretability-methods interpretable-deep-learning uncertainty-interpretability
Created 2020-10-12
17 commits to main branch, last one 2 years ago
ecm200
caltech_birds ecm200
8
43
unknown
2
A set of notebooks as a guide to the process of fine-grained image classification of birds species, using PyTorch based deep neural networks.
cnn pytorch cub-200-2011 caltech-birds deep-learning machine-learning pytorch-tutorial manifold-learning feature-attribution classification-model deep-neural-networks image-classification activation-maximization
Created 2020-06-20
202 commits to master branch, last one 3 years ago