Releases: Julia-XAI/ExplainableAI.jl
Releases · Julia-XAI/ExplainableAI.jl
v0.3.0
ExplainableAI v0.3.0
Merged pull requests:
v0.2.0
ExplainabilityMethods v0.2.0
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:
- Refactor heatmapping using symbols (#32) (@adrhill)
- Make LRP rules type inferable (#33) (@adrhill)
- Add
Explanation
type and dispatchheatmap
on it. (#36) (@adrhill) - Add inplace updating
lrp!
rule calls and reuse gradient code (#38) (@adrhill) - Update docs with advanced LRP example (#40) (@adrhill)
- Update docs with LRP equations (#41) (@adrhill)
- Add outline to docs (#42) (@adrhill)
- Document LRP composites (#43) (@adrhill)
v0.1.2
ExplainabilityMethods v0.1.2
Closed issues:
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)