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Adversarial-Deep-Learning / code-soup

This is a collection of algorithms and approaches used in the book adversarial deep learning
MIT License
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ATNs for ImageNet Dataset #100

Open soham-chitnis10 opened 2 years ago

codecov[bot] commented 2 years ago

Codecov Report

Merging #100 (495b5ad) into main (191a0a9) will decrease coverage by 2.97%. The diff coverage is 37.14%.

@@             Coverage Diff             @@
##              main     #100      +/-   ##
===========================================
- Coverage   100.00%   97.02%   -2.98%     
===========================================
  Files           17       17              
  Lines          704      739      +35     
===========================================
+ Hits           704      717      +13     
- Misses           0       22      +22
Impacted Files Coverage Δ
code_soup/ch5/algorithms/atn.py 83.82% <37.14%> (-16.18%) :arrow_down:
soham-chitnis10 commented 2 years ago

This PR resolves issue #87 @someshsingh22 , @gchhablani Could you take a look at the modifications made to atn for ImageNet so that I could start with the tests?