Code for the TCAV ML interpretability project
Role in this project:
ML Engineer Contributions:35 commits, 17 PRs, 40 pushes in 3 years 1 month
Contributions summary:Been primarily contributed to the `tcav` repository, a project focused on the TCAV ML interpretability method. Their commits demonstrate expertise in model-related aspects by modifying the image value range for an InceptionV3 model and addressing warnings related to model training. The user also implemented changes to the plotting utilities and added arguments to address deprecation warnings from sklearn. Moreover, they modified the code by adding comments and fixing an issue with Python 3 compatibility.
machine-learninginterpretabilitytcav
Contributions:11 commits, 9 PRs, 11 pushes in 1 year 9 months