Metadata-Version: 2.1
Name: edgify
Version: 0.0.1
Summary: Personalize DL models on the edge.
Home-page: https://github.com/scale-lab/edgify
Author: Abdelrahman Hosny
Author-email: abdelrahman_hosny@brown.edu
License: BSD-3 License
Download-URL: https://github.com/scale-lab/archive/v_0.0.1.tar.gz
Description: # Model Personalization on Edge
        
        Improving the performance of DL models for individual users by re-training on a user's data on the edge.
        
        
        ## QMNIST Dataset
        
        Divide the datset by the writer ID.
        
        ```Python
        python preprocess/filter_by_user.py --download --dataset=train
        python preprocess/filter_by_user.py --download --dataset=test
        ```
        
        The resulting user-specific datasets will be under `data/QMNIST/train` and `data/QMNIST/test`. 
        The file naming convention is `w-<witer_id>.pth`.
        
        To load the dataset of a specific writer:
        
        ```Python
        import torch
        from torch.utils.data import DataLoader
        
        dataset = torch.load('data/QMNIST/train/w-<writer_id>.pth')
        dataloader = DataLoader(dataset)
        ```
        
        
        ## License
        BSD 3-Clause License.
Keywords: Edge,Computing,Deep Learning
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: License :: OSI Approved :: BSD License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Description-Content-Type: text/markdown
