Metadata-Version: 2.1
Name: ignis
Version: 0.0.7
Summary: Intuitive library for training neural nets in PyTorch
Home-page: https://github.com/Catastropha/ignis
Author: Teodor Scorpan
Author-email: teodor.scorpan@gmail.com
License: UNKNOWN
Description: # Intuitive library to help with training neural networks in PyTorch
        
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        [![Downloads](https://pepy.tech/badge/ignis)](https://pepy.tech/project/ignis)
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        `ignis` is a high-level library that helps you write compact but full-featured training loops with metrics, early stops,
        and model checkpoints for deep learning library [PyTorch](https://pytorch.org/).
        
        You can extend `ignis` according to your own needs. You can implement custom functionalities by extending simple
        abstract classes.
        
        ## Installation
        
        1.  Install PyTorch. You can find it here: [PyTorch](https://pytorch.org/)
        2.  `pip install ignis`
        
        ## Examples
        
        You can find examples in `examples/` directory
        
        You can also run examples: `python examples/iris.py`
        
        You might want to `export PYTHONPATH=/path/to/this/directory`
        
        ## Contribute
        
        1.  Implement new functionalities
        2.  Improve code design
        3.  Improve comments and readme
        4.  Tests
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3.6
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Description-Content-Type: text/markdown
