search

Adversarial-Deep-Learning / code-soup

This is a collection of algorithms and approaches used in the book adversarial deep learning
MIT License
18 stars 18 forks source link

Ignore Runnable Code, Shift Training Scripts to running #20

Closed someshsingh22 closed 3 years ago

codecov[bot] commented 3 years ago

Codecov Report

Merging #20 (fa6ec0e) into main (02798d0) will increase coverage by 1.41%. The diff coverage is 95.65%.

@@            Coverage Diff             @@
##             main      #20      +/-   ##
==========================================
+ Coverage   81.08%   82.50%   +1.41%     
==========================================
  Files           7        6       -1     
  Lines          37       40       +3     
==========================================
+ Hits           30       33       +3     
  Misses          7        7
Impacted Files Coverage Δ
code_soup/ch5/mnist_gan.py 0.00% <0.00%> (ø)
code_soup/ch5/__init__.py 100.00% <100.00%> (ø)
code_soup/ch5/models/__init__.py 100.00% <100.00%> (ø)
code_soup/ch5/models/gan.py 100.00% <100.00%> (ø)