Network Auto Tester and Evaluator (NATE)
This tool allows to set up a list of network training tasks that would allow to conduct multiple experiments with different parameters. Automatically calculates accuracy scores (F-score, AUROC) for trained networks.
- Language: Python
- Framework: Pytorch
- Supported tasks: Classification, Segmentation, Image generation
- Network architectures: All torchvision nets, shallow convolution networks
For more information check the documentation located in doc/main.pdf