Metadata-Version: 2.1
Name: runai
Version: 0.4.1
Summary: Run:AI Python library
Home-page: https://github.com/run-ai/runai
Author: Run:AI
Author-email: pypi@run.ai
License: UNKNOWN
Description: # Run:AI Python library
        
        Public functional modules for Keras, TF and PyTorch
        
        ## Info
        
        ### Status
        
        CircleCI is used for CI system:
        [![CircleCI](https://circleci.com/gh/run-ai/runai/tree/master.svg?style=svg&circle-token=438045a8ae6e2d2a2253bae97ccf82dc94bcfd5b)](https://circleci.com/gh/run-ai/runai/tree/master)
        
        ### Modules
        
        This library consists of a few pretty much independent submodules:
        
        | Module | Name | Info |
        |--------|------|------|
        | Elastic | `elastic` | [Make Keras and PyTorch models elastic](runai/elastic/README.md) |
        | Gradient Accumulation | `ga` | [Gradient accumulation for Keras and PyTorch optimizers](runai/ga/README.md) |
        | HPO | `hpo` | [Hyperparameter optimization assistance](runai/hpo/README.md) |
        | Model Parallelism | `mp` | Model-parallelism support for Keras builtin layers |
        | Auto Profiler | `profiler` | Export timeline of TF/Keras models easily |
        | Reporter | `reporter` | [An interface to send metrics and parameters to Promethues Push Gateway](runai/reporter/README.md) |
        
        ## Getting Started
        
        ### Installing
        
        Install the `runai` Python library using `pip` using the following command:
        
        ```
        pip install runai
        ```
        
        > Make sure to use the correct `pip` installer (you might need to use `pip3` for Python3)
        
        ### Running The Tests
        
        All tests (unit tests) can be run using the following command:
        
        ```
        python -m unittest discover -s tests -v
        ```
        
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python
Description-Content-Type: text/markdown
