Model Compression Toolkit (MCT) is an open source project for neural network model optimization under efficient, constrained hardware. This project provides researchers, developers, and engineers advanced quantization and compression tools for deploying state-of-the-art neural networks.
Refactored Pytorch feature notebooks for consistency. Standardized function usage across notebooks. Updated model examples to use pretrained models from torchvision with the ImageNet validation set as the representative dataset (except for the pruning notebook).
Checklist before requesting a review:
[x] I set the appropriate labels on the pull request.
[x] I have added/updated the release note draft (if necessary).
[x] I have updated the documentation to reflect my changes (if necessary).
[x] All function and files are well documented.
[x] All function and classes have type hints.
[x] There is a licenses in all file.
[x] The function and variable names are informative.
Pull Request Description:
Refactored Pytorch feature notebooks for consistency. Standardized function usage across notebooks. Updated model examples to use pretrained models from torchvision with the ImageNet validation set as the representative dataset (except for the pruning notebook).
Checklist before requesting a review: