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Zennit is a high-level framework in Python using PyTorch for explaining/exploring neural networks using attribution methods like LRP.
Created
2020-11-10
232 commits to master branch, last one 8 months ago
A PyTorch 1.6 implementation of Layer-Wise Relevance Propagation (LRP).
Created
2020-09-02
48 commits to master branch, last one 3 years ago
An eXplainable AI toolkit with Concept Relevance Propagation and Relevance Maximization
Created
2022-06-07
124 commits to master branch, last one 6 months ago
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
Explainable AI in Julia.
Created
2021-02-09
234 commits to master branch, last one 18 days ago
A basic implementation of Layer-wise Relevance Propagation (LRP) in PyTorch.
Created
2021-12-15
12 commits to master branch, last one 2 years ago
A utility for generating heatmaps of YOLOv8 using Layerwise Relevance Propagation (LRP/CRP).
Created
2022-04-06
14 commits to master branch, last one 10 months ago
Implementation or LRP and Object detection on Brain scans to detect Brain Tumor and Alzhimers
Created
2024-07-26
2 commits to main branch, last one 19 days ago