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Releases: Julia-XAI/ExplainableAI.jl

v0.3.0

26 Mar 13:57
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ExplainableAI v0.3.0

Diff since v0.2.0

Merged pull requests:

v0.2.0

22 Mar 14:10
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ExplainabilityMethods v0.2.0

Diff since v0.1.2

Closed issues:

  • Faster LRP by dispatching on Dense and Conv layers (#22)
  • Dispatch heatmap on method that was used to compute attribution (#23)
  • Update docs with MNIST example and layer registration (#35)

Merged pull requests:

v0.1.2

12 Mar 22:40
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ExplainabilityMethods v0.1.2

Diff since v0.1.1

Closed issues:

  • Use DataAugmentation.jl for preprocessing in docs (#18)
  • Add model checks for LRP (#25)

Merged pull requests:

  • Use DataAugmentation.jl for preprocessing in docs (#20) (@adrhill)
  • Restructure tests (#24) (@adrhill)
  • Add LRP model checks and support unknown layers via AD fallback (#26) (@adrhill)
  • Test and benchmark on VGG11 instead of VGG19 (#27) (@adrhill)
  • Remove modify_layer (#29) (@adrhill)
  • Fix tests and benchmarks on TestWrapper (#30) (@adrhill)
  • Faster LRP rules on Dense layers (#31) (@adrhill)

v0.1.1

10 Feb 14:00
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ExplainabilityMethods v0.1.1

Diff since v0.1.0

Closed issues:

  • Add package benchmarking tools (#8)

Merged pull requests:

v0.1.0

30 Oct 20:26
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ExplainabilityMethods v0.1.0

Closed issues:

  • Regression tests of all methods on VGG19 (#3)
  • Regression tests of LRP rules on all common layers (#4)
  • Add docs (#5)
  • Fix randomness in gradients (#6)

Merged pull requests: