Metadata-Version: 2.1
Name: deepml
Version: 1.0.1
Summary: Library for training deep neural nets in Pytorch.
Home-page: https://github.com/sagar-rathod/PytorchDeepML
Author: Sagar Rathod
Author-email: sagar100rathod@gmail.com
License: UNKNOWN
Description: # PytorchDeepML
        
        
        This library is a wrapper around pytorch and useful for solving image classification and semantic
        segmentation problems.
        
        ### Features
        1. Easy to use wrapper around pytorch so that you can focus on training and
           validating your model.
        
        2. Integrates with Tensorboard to use it to monitor metrics while model trains.
        
        3. Quickly visualize your model's predictions.
        
        
        # Installation
        
        Before installing **deepml**, it is recommended to refer [pytorch](https://pytorch.org/) official page for **torch** installation.
        
        ### Pypi
        
        ```bash
        pip install deepml
        ```
        
        
        # Examples
        Check out the below google colaboratory notebook examples:
        
        1. [Image Regression](https://colab.research.google.com/github/sagar-rathod/PytorchDeepML/blob/master/examples/Image_Regression_Example.ipynb).
        2. [Image Classification](https://colab.research.google.com/github/sagar-rathod/PytorchDeepML/blob/master/examples/Image_Classification_Example.ipynb).
        3. Semantic Segmentation. [Coming Soon]
        
        
        # Contributing
        If you find a bug or have a feature request, file an issue at https://github.com/sagar-rathod/PytorchDeepML/issues
        
Platform: UNKNOWN
Classifier: Development Status :: 5 - Production/Stable
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: License :: OSI Approved :: MIT License
Classifier: License :: Free For Educational Use
Classifier: Operating System :: OS Independent
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: Topic :: Software Development :: Libraries
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Requires-Python: >=3.6
Description-Content-Type: text/markdown
