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Transfer repository to Julia-XAI organization
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112 changes: 56 additions & 56 deletions CHANGELOG.md
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Expand Up @@ -165,62 +165,62 @@ Performance improvements:
![Maintenance][badge-maintenance]
![Documentation][badge-docs]
-->
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[badge-breaking]: https://img.shields.io/badge/BREAKING-red.svg
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70 changes: 35 additions & 35 deletions README.md
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Expand Up @@ -36,7 +36,7 @@ model = strip_softmax(model)
model = canonize(model)

# Load input
url = HTTP.URI("https://raw.githubusercontent.com/adrhill/ExplainableAI.jl/gh-pages/assets/heatmaps/castle.jpg")
url = HTTP.URI("https://raw.githubusercontent.com/Julia-XAI/ExplainableAI.jl/gh-pages/assets/heatmaps/castle.jpg")
img = load(url)
input = preprocess_imagenet(img)
input = reshape(input, 224, 224, 3, :) # reshape to WHCN format
Expand Down Expand Up @@ -129,50 +129,50 @@ Contributions are welcome!
> Adrian Hill acknowledges support by the Federal Ministry of Education and Research (BMBF)
> for the Berlin Institute for the Foundations of Learning and Data (BIFOLD) (01IS18037A).
[banner-img]: https://raw.githubusercontent.com/adrhill/ExplainableAI.jl/gh-pages/assets/banner.png

[asset-code]: https://github.com/adrhill/ExplainableAI.jl/blob/gh-pages/assets/heatmaps/generate_assets.jl
[castle]: https://raw.githubusercontent.com/adrhill/ExplainableAI.jl/gh-pages/assets/heatmaps/castle.jpg

[castle-lrp]: https://raw.githubusercontent.com/adrhill/ExplainableAI.jl/gh-pages/assets/heatmaps/castle_LRP.png
[castle-ixg]: https://raw.githubusercontent.com/adrhill/ExplainableAI.jl/gh-pages/assets/heatmaps/castle_InputTimesGradient.png
[castle-grad]: https://raw.githubusercontent.com/adrhill/ExplainableAI.jl/gh-pages/assets/heatmaps/castle_Gradient.png
[castle-smoothgrad]: https://raw.githubusercontent.com/adrhill/ExplainableAI.jl/gh-pages/assets/heatmaps/castle_SmoothGrad.png
[castle-intgrad]: https://raw.githubusercontent.com/adrhill/ExplainableAI.jl/gh-pages/assets/heatmaps/castle_IntegratedGradients.png
[castle-comp-egb]: https://raw.githubusercontent.com/adrhill/ExplainableAI.jl/gh-pages/assets/heatmaps/castle_LRPEpsilonGammaBox.png
[castle-comp-ep]: https://raw.githubusercontent.com/adrhill/ExplainableAI.jl/gh-pages/assets/heatmaps/castle_LRPEpsilonPlus.png
[castle-comp-epf]: https://raw.githubusercontent.com/adrhill/ExplainableAI.jl/gh-pages/assets/heatmaps/castle_LRPEpsilonPlusFlat.png
[castle-comp-eab]: https://raw.githubusercontent.com/adrhill/ExplainableAI.jl/gh-pages/assets/heatmaps/castle_LRPEpsilonAlpha2Beta1.png
[castle-comp-eabf]: https://raw.githubusercontent.com/adrhill/ExplainableAI.jl/gh-pages/assets/heatmaps/castle_LRPEpsilonAlpha2Beta1Flat.png

[streetsign-lrp]: https://raw.githubusercontent.com/adrhill/ExplainableAI.jl/gh-pages/assets/heatmaps/streetsign_LRP.png
[streetsign-ixg]: https://raw.githubusercontent.com/adrhill/ExplainableAI.jl/gh-pages/assets/heatmaps/streetsign_InputTimesGradient.png
[streetsign-grad]: https://raw.githubusercontent.com/adrhill/ExplainableAI.jl/gh-pages/assets/heatmaps/streetsign_Gradient.png
[streetsign-smoothgrad]: https://raw.githubusercontent.com/adrhill/ExplainableAI.jl/gh-pages/assets/heatmaps/streetsign_SmoothGrad.png
[streetsign-intgrad]: https://raw.githubusercontent.com/adrhill/ExplainableAI.jl/gh-pages/assets/heatmaps/streetsign_IntegratedGradients.png
[streetsign-comp-egb]: https://raw.githubusercontent.com/adrhill/ExplainableAI.jl/gh-pages/assets/heatmaps/streetsign_LRPEpsilonGammaBox.png
[streetsign-comp-ep]: https://raw.githubusercontent.com/adrhill/ExplainableAI.jl/gh-pages/assets/heatmaps/streetsign_LRPEpsilonPlus.png
[streetsign-comp-epf]: https://raw.githubusercontent.com/adrhill/ExplainableAI.jl/gh-pages/assets/heatmaps/streetsign_LRPEpsilonPlusFlat.png
[streetsign-comp-eab]: https://raw.githubusercontent.com/adrhill/ExplainableAI.jl/gh-pages/assets/heatmaps/streetsign_LRPEpsilonAlpha2Beta1.png
[streetsign-comp-eabf]: https://raw.githubusercontent.com/adrhill/ExplainableAI.jl/gh-pages/assets/heatmaps/streetsign_LRPEpsilonAlpha2Beta1Flat.png
[banner-img]: https://raw.githubusercontent.com/Julia-XAI/ExplainableAI.jl/gh-pages/assets/banner.png

[asset-code]: https://github.com/Julia-XAI/ExplainableAI.jl/blob/gh-pages/assets/heatmaps/generate_assets.jl
[castle]: https://raw.githubusercontent.com/Julia-XAI/ExplainableAI.jl/gh-pages/assets/heatmaps/castle.jpg

[castle-lrp]: https://raw.githubusercontent.com/Julia-XAI/ExplainableAI.jl/gh-pages/assets/heatmaps/castle_LRP.png
[castle-ixg]: https://raw.githubusercontent.com/Julia-XAI/ExplainableAI.jl/gh-pages/assets/heatmaps/castle_InputTimesGradient.png
[castle-grad]: https://raw.githubusercontent.com/Julia-XAI/ExplainableAI.jl/gh-pages/assets/heatmaps/castle_Gradient.png
[castle-smoothgrad]: https://raw.githubusercontent.com/Julia-XAI/ExplainableAI.jl/gh-pages/assets/heatmaps/castle_SmoothGrad.png
[castle-intgrad]: https://raw.githubusercontent.com/Julia-XAI/ExplainableAI.jl/gh-pages/assets/heatmaps/castle_IntegratedGradients.png
[castle-comp-egb]: https://raw.githubusercontent.com/Julia-XAI/ExplainableAI.jl/gh-pages/assets/heatmaps/castle_LRPEpsilonGammaBox.png
[castle-comp-ep]: https://raw.githubusercontent.com/Julia-XAI/ExplainableAI.jl/gh-pages/assets/heatmaps/castle_LRPEpsilonPlus.png
[castle-comp-epf]: https://raw.githubusercontent.com/Julia-XAI/ExplainableAI.jl/gh-pages/assets/heatmaps/castle_LRPEpsilonPlusFlat.png
[castle-comp-eab]: https://raw.githubusercontent.com/Julia-XAI/ExplainableAI.jl/gh-pages/assets/heatmaps/castle_LRPEpsilonAlpha2Beta1.png
[castle-comp-eabf]: https://raw.githubusercontent.com/Julia-XAI/ExplainableAI.jl/gh-pages/assets/heatmaps/castle_LRPEpsilonAlpha2Beta1Flat.png

[streetsign-lrp]: https://raw.githubusercontent.com/Julia-XAI/ExplainableAI.jl/gh-pages/assets/heatmaps/streetsign_LRP.png
[streetsign-ixg]: https://raw.githubusercontent.com/Julia-XAI/ExplainableAI.jl/gh-pages/assets/heatmaps/streetsign_InputTimesGradient.png
[streetsign-grad]: https://raw.githubusercontent.com/Julia-XAI/ExplainableAI.jl/gh-pages/assets/heatmaps/streetsign_Gradient.png
[streetsign-smoothgrad]: https://raw.githubusercontent.com/Julia-XAI/ExplainableAI.jl/gh-pages/assets/heatmaps/streetsign_SmoothGrad.png
[streetsign-intgrad]: https://raw.githubusercontent.com/Julia-XAI/ExplainableAI.jl/gh-pages/assets/heatmaps/streetsign_IntegratedGradients.png
[streetsign-comp-egb]: https://raw.githubusercontent.com/Julia-XAI/ExplainableAI.jl/gh-pages/assets/heatmaps/streetsign_LRPEpsilonGammaBox.png
[streetsign-comp-ep]: https://raw.githubusercontent.com/Julia-XAI/ExplainableAI.jl/gh-pages/assets/heatmaps/streetsign_LRPEpsilonPlus.png
[streetsign-comp-epf]: https://raw.githubusercontent.com/Julia-XAI/ExplainableAI.jl/gh-pages/assets/heatmaps/streetsign_LRPEpsilonPlusFlat.png
[streetsign-comp-eab]: https://raw.githubusercontent.com/Julia-XAI/ExplainableAI.jl/gh-pages/assets/heatmaps/streetsign_LRPEpsilonAlpha2Beta1.png
[streetsign-comp-eabf]: https://raw.githubusercontent.com/Julia-XAI/ExplainableAI.jl/gh-pages/assets/heatmaps/streetsign_LRPEpsilonAlpha2Beta1Flat.png

[docs-stab-img]: https://img.shields.io/badge/docs-stable-blue.svg
[docs-stab-url]: https://adrhill.github.io/ExplainableAI.jl/stable
[docs-stab-url]: https://Julia-XAI.github.io/ExplainableAI.jl/stable

[docs-dev-img]: https://img.shields.io/badge/docs-main-blue.svg
[docs-dev-url]: https://adrhill.github.io/ExplainableAI.jl/dev
[docs-dev-url]: https://Julia-XAI.github.io/ExplainableAI.jl/dev

[ci-img]: https://github.com/adrhill/ExplainableAI.jl/workflows/CI/badge.svg
[ci-url]: https://github.com/adrhill/ExplainableAI.jl/actions
[ci-img]: https://github.com/Julia-XAI/ExplainableAI.jl/workflows/CI/badge.svg
[ci-url]: https://github.com/Julia-XAI/ExplainableAI.jl/actions

[codecov-img]: https://codecov.io/gh/adrhill/ExplainableAI.jl/branch/master/graph/badge.svg
[codecov-url]: https://codecov.io/gh/adrhill/ExplainableAI.jl
[codecov-img]: https://codecov.io/gh/Julia-XAI/ExplainableAI.jl/branch/master/graph/badge.svg
[codecov-url]: https://codecov.io/gh/Julia-XAI/ExplainableAI.jl

[aqua-img]: https://raw.githubusercontent.com/JuliaTesting/Aqua.jl/master/badge.svg
[aqua-url]: https://github.com/JuliaTesting/Aqua.jl

[docs-composites]: https://adrhill.github.io/ExplainableAI.jl/stable/generated/lrp/composites/
[docs-custom-rules]: https://adrhill.github.io/ExplainableAI.jl/stable/generated/lrp/custom_rules/
[docs-composites]: https://Julia-XAI.github.io/ExplainableAI.jl/stable/generated/lrp/composites/
[docs-custom-rules]: https://Julia-XAI.github.io/ExplainableAI.jl/stable/generated/lrp/custom_rules/

[doi-img]: https://zenodo.org/badge/337430397.svg
[doi-url]: https://zenodo.org/badge/latestdoi/337430397
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Expand Up @@ -56,4 +56,4 @@ makedocs(;
checkdocs=:exports, # only check docstrings in API reference if they are exported
)

deploydocs(; repo="github.com/adrhill/ExplainableAI.jl")
deploydocs(; repo="github.com/Julia-XAI/ExplainableAI.jl")
4 changes: 2 additions & 2 deletions docs/src/literate/lrp/custom_layer.jl
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Expand Up @@ -39,7 +39,7 @@ model = Chain(
#
# LRP assumes that the model is a deep rectifier network that only contains ReLU-like activation functions.
#
# If you think the missing layer should be supported by default, please submit an issue (https://github.com/adrhill/ExplainableAI.jl/issues).
# If you think the missing layer should be supported by default, please submit an issue (https://github.com/Julia-XAI/ExplainableAI.jl/issues).
#
# [...]
#
Expand Down Expand Up @@ -100,7 +100,7 @@ model = Chain(
#
# LRP assumes that the model is a deep rectifier network that only contains ReLU-like activation functions.
#
# If you think the missing layer should be supported by default, please submit an issue (https://github.com/adrhill/ExplainableAI.jl/issues).
# If you think the missing layer should be supported by default, please submit an issue (https://github.com/Julia-XAI/ExplainableAI.jl/issues).
#
# [...]
#
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4 changes: 2 additions & 2 deletions docs/src/lrp/developer.md
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Expand Up @@ -116,7 +116,7 @@ for all layer types that don't have a more optimized implementation
We will refer to it as the *"AD fallback"*.

For more background information on automatic differentiation, refer to the
[JuML lecture on AD](https://adrhill.github.io/julia-ml-course/L6_Automatic_Differentiation/).
[JuML lecture on AD](https://Julia-XAI.github.io/julia-ml-course/L6_Automatic_Differentiation/).

## LRP analyzer struct
The [`LRP`](@ref) analyzer struct holds three fields:
Expand Down Expand Up @@ -211,7 +211,7 @@ but also the internal functions `modify_input` and `modify_denominator`.
Unknown layers that are registered in the `LRP_CONFIG` use this exact function.

All LRP rules are implemented in the file
[`/src/lrp/rules.jl`](https://github.com/adrhill/ExplainableAI.jl/blob/master/src/lrp/rules.jl).
[`/src/lrp/rules.jl`](https://github.com/Julia-XAI/ExplainableAI.jl/blob/master/src/lrp/rules.jl).

### Specialized implementations
In other programming languages, LRP is commonly implemented in an object-oriented manner,
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2 changes: 1 addition & 1 deletion src/lrp/checks.jl
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Expand Up @@ -66,7 +66,7 @@ _MD_CHECK_FAILED = md"""# LRP model check failed
that only contains ReLU-like activation functions.
If you think the missing layer should be supported by default,
**please [submit an issue](https://github.com/adrhill/ExplainableAI.jl/issues)**.
**please [submit an issue](https://github.com/Julia-XAI/ExplainableAI.jl/issues)**.
## Using custom layers
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2 changes: 1 addition & 1 deletion src/lrp/rules.jl
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@@ -1,4 +1,4 @@
# https://adrhill.github.io/ExplainableAI.jl/dev/lrp/developer/
# https://Julia-XAI.github.io/ExplainableAI.jl/dev/lrp/developer/
abstract type AbstractLRPRule end

# Default parameters
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