Metadata-Version: 2.1
Name: pytorch-wrapper
Version: 1.1.0
Summary: PyTorchWrapper is a library that provides a systematic and extensible way to build, train, evaluate, and tune deep learning models using PyTorch. It also provides several ready to use modules and functions for fast model development.
Home-page: https://github.com/jkoutsikakis/pytorch-wrapper
Author: John Koutsikakis
Author-email: jkoutsikakis@gmail.com
License: UNKNOWN
Description: # PyTorch Wrapper
        
        ![Logo](logo.png)
        
        PyTorch Wrapper is a library that provides a systematic and extensible way to build, train, evaluate, and tune deep learning models
        using PyTorch. It also provides several ready to use modules and functions for fast model development.
        
        | Branch | Build | Coverage |
        | :---: | :---: | :---: |
        | Master | [![Build Status](https://travis-ci.com/jkoutsikakis/pytorch-wrapper.svg?branch=master)](https://travis-ci.com/jkoutsikakis/pytorch-wrapper) | [![Coverage Status](https://coveralls.io/repos/github/jkoutsikakis/pytorch-wrapper/badge.svg?branch=develop)](https://coveralls.io/github/jkoutsikakis/pytorch-wrapper?branch=master) |
        | Develop | [![Build Status](https://travis-ci.com/jkoutsikakis/pytorch-wrapper.svg?branch=develop)](https://travis-ci.com/jkoutsikakis/pytorch-wrapper)| [![Coverage Status](https://coveralls.io/repos/github/jkoutsikakis/pytorch-wrapper/badge.svg?branch=develop)](https://coveralls.io/github/jkoutsikakis/pytorch-wrapper?branch=develop) |
        
        
        ## Installation
        
        ### From PyPI
        ```bash
        pip install pytorch-wrapper
        ```
        
        ### From Source
        
        ```bash
        git clone https://github.com/jkoutsikakis/pytorch-wrapper.git
        cd pytorch-wrapper
        pip install .
        ```
        
        ## Docs & Examples
        
        The docs can be found [here](https://pytorch-wrapper.readthedocs.io/en/latest/).
        
        There are also the following examples in notebook format:
        
        1. [Two Spiral Task](examples/1_two_spiral_task.ipynb)
        2. [Image Classification Task](examples/2_image_classification_task.ipynb)
        3. [Tuning Image Classifier](examples/3_tuning_image_classifier.ipynb)
        4. [Text Classification Task](examples/4_text_classification_task.ipynb)
        5. [Token Classification Task](examples/5_token_classification_task.ipynb)
        6. [Text Classification Task using BERT](examples/6_text_classification_task_using_bert.ipynb)
        7. [Custom Callback](examples/7_custom_callback.ipynb)
        8. [Custom Loss Wrapper](examples/8_custom_loss_wrapper.ipynb)
        9. [Custom Evaluator](examples/9_custom_evaluator.ipynb)
        
Platform: UNKNOWN
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.6
Description-Content-Type: text/markdown
