Metadata-Version: 2.1
Name: MuarAugment
Version: 1.1.0
Summary: State-of-the-art data augmentation search algorithms in PyTorch
Home-page: https://github.com/adam-mehdi/MuarAugment
Author: Adam Mehdi
Author-email: amehdi.25@dartmouth.edu
License: UNKNOWN
Description: ---
        
        <div align="center">    
         
        # <img src="muar-final-design-2.JPG" width="60" height="35"/>     MuarAugment  
        
        </div>
        
        ## Description   
        MuarAugment is a package providing the easiest way to a state-of-the-art data augmentation pipeline.
        
        ## How to use   
        You can install `MuarAugment` via PIP:  
        ```python
        !pip install muaraugment
        ```
        
        ## Example (temp: tutorials and working examples coming soon)
        ```python
        from muar.augmentations import BatchRandAugment, MuAugment
        
        # muar augmentations
        rand_augment = BatchRandAugment(N_TFMS=3, MAGN=4)
        mu_augment = MuAugment(rand_augment, N_COMPS=4, SELECTED=2)
        
        # model
        model = LitClassifier(mu_augment)
        
        # data
        train, val, test = mnist()
        
        # train
        trainer = Trainer()
        trainer.fit(model, train, val)
        ```
        
        ### Tutorials   
        - [Overview of data augmentation policy search algorithms](https://adam-mehdi23.medium.com/automatic-data-augmentation-an-overview-and-the-sota-109ffbf43a20)
        
Platform: UNKNOWN
Description-Content-Type: text/markdown
