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chr5tphr
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zennit
Zennit is a high-level framework in Python using PyTorch for explaining/exploring neural networks using attribution methods like LRP.
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Test Simple Module Rules
#105
chr5tphr
closed
2 years ago
0
Added Tests for linear layer rules
#104
chr5tphr
closed
2 years ago
0
Added names (ids) to fixtures
#103
chr5tphr
closed
2 years ago
0
Set bias to zero in flat rule
#102
chr5tphr
closed
2 years ago
0
Expand low/high in ZBox to improve usability
#101
chr5tphr
closed
2 years ago
0
Fix ZPlus gradient_mapper for negative inputs
#100
chr5tphr
closed
2 years ago
0
Remove Attributes numpydoc in ColorMap
#99
chr5tphr
closed
2 years ago
0
Add docstring for ColorMap.source setter
#98
chr5tphr
closed
2 years ago
0
Fix build path for docs in tox.ini
#97
chr5tphr
closed
2 years ago
0
Docs: Fix missing files
#96
chr5tphr
closed
2 years ago
0
Reverted overly ambitous "fix" for ColorMap
#95
chr5tphr
closed
2 years ago
0
Update pylintrc and introduce style fixes
#94
chr5tphr
closed
2 years ago
0
Added Github Actions workflow
#93
chr5tphr
closed
2 years ago
0
Updated test environment with tox
#92
chr5tphr
closed
2 years ago
0
Make test fixtures more light-weight and thorough
#91
chr5tphr
closed
2 years ago
0
Docs: Clarification for the shift in stabilize
#90
chr5tphr
closed
2 years ago
0
How-To for Visualization of Results
#89
chr5tphr
closed
2 years ago
0
Cast vmin and vmax to ndarray in imgify
#88
chr5tphr
closed
2 years ago
0
Allow single-digit index for CMSL
#87
chr5tphr
closed
2 years ago
0
Remove norm mode 'absolute', make symmetric flag
#86
chr5tphr
closed
2 years ago
0
Compute norm bounds instead of directly applying
#85
chr5tphr
closed
2 years ago
0
Added `grid` function to `imgify`
#84
chr5tphr
closed
2 years ago
0
Norm-mode for imgify and imsave
#83
chr5tphr
closed
2 years ago
0
Docs: Added How-To for using Attributors
#82
chr5tphr
closed
2 years ago
0
Assume batch-dimension in window for occlusion
#81
chr5tphr
closed
2 years ago
0
Fix: Occlusion stride resolve
#80
chr5tphr
closed
2 years ago
0
Fixed code examples for How-To/Composites
#79
chr5tphr
closed
2 years ago
0
How-to for Rules, Composites and Canonizers
#78
chr5tphr
closed
2 years ago
0
Feature request: Support for max-pooling layers
#77
rodrigobdz
closed
2 years ago
2
Feature request: Assign rule by layer index
#76
rodrigobdz
closed
2 years ago
2
Attribution: Fix typos 'convien[i]ence'
#75
rodrigobdz
closed
2 years ago
0
Example: Fix typo 'orignal'
#74
rodrigobdz
closed
2 years ago
0
Fixed flipped seismic cmap
#73
chr5tphr
closed
2 years ago
0
Docs: Clarification about requirements Modules/ Canonizers
#72
chr5tphr
closed
2 years ago
0
Fix MergeBatchNorm for all Convolutions
#71
chr5tphr
closed
2 years ago
0
Added new abstract types concerning Convolution
#70
chr5tphr
closed
2 years ago
0
Fixtures for linear modules, test MergeBatchNorm
#69
chr5tphr
closed
2 years ago
0
Readme: Correct order of comments describing vars
#68
rodrigobdz
closed
2 years ago
0
Composites: Fix typo 'occurence'
#67
rodrigobdz
closed
2 years ago
0
Core: Fix typo 'existance'
#66
rodrigobdz
closed
2 years ago
0
Readme: Fix typo 'exerpt'
#65
rodrigobdz
closed
2 years ago
1
Docs: Use modified_model in Composites example
#64
rodrigobdz
closed
2 years ago
2
Canonizers
#63
rachtibat
closed
2 years ago
2
Added reference to Documentation and badges to README.md
#62
chr5tphr
closed
2 years ago
0
Fix mod_params breaking gradients from torch 1.10
#61
chr5tphr
closed
2 years ago
0
torch 1.10 version not working
#60
rachtibat
closed
2 years ago
2
RuntimeError: Mismatch in shape: grad_output[0] has a shape of torch.Size([1, 1, 80, 80]) and output[0] has a shape of torch.Size([1, 1, 96, 96]).
#59
bugsuse
closed
2 years ago
0
RuntimeError: Mismatch in shape: grad_output[0] has a shape of torch.Size([1, 1, 80, 80]) and output[0] has a shape of torch.Size([1, 1, 96, 96]).
#58
bugsuse
closed
2 years ago
0
Added .readthedocs.yaml file
#57
chr5tphr
closed
2 years ago
0
Added Zennit to docs requirements.txt
#56
chr5tphr
closed
2 years ago
0
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