Metadata-Version: 2.1
Name: tf-argonaut
Version: 0.1.0
Summary: Tensorflow Experimentation Pipeline
Home-page: https://github.com/felixnext/tf-argonaut
Author: Felix Geilert
License: Apache License 2.0
Description: # tf-argonaut
        
        Library for creating visual experiment pipelines in tensorflow. Allows to test out different network concepts against standardized datasets.
        
        > The Argonauts where a band of heros and adventures that sailed on their ship Argo through the mediterranean and navigated numerous adventures.
        > Like one of them this library is designed to turn TF into your own argo and navigate your experiments.
        
        ## Getting Started
        
        To install the library simply use PyPi:
        ```
        pip3 install tf-argonaut
        ```
        
        Alternatively you can install the library directly through `setup.py`:
        ```
        pip3 install .
        ```
        
        You can then import the library:
        ```python
        import argonaut as argo
        ```
        
        TODO: more examples to follow
        
        ## Concepts
        
        Concepts include:
        
        * Experiments
        * Pipeline
        * Datasets
        * Callbacks
        
        ### Tools
        
        The library also contains multiple tools that allow to inspect data and quickly start training processes.
        
        ## Coding Examples
        
        TODO: more advanced coding examples
        
        ## License
        
        This library is provided under the Apache License.
        Any Pull Requests are welcome.
Keywords: tensorflow experimentation computervision
Platform: UNKNOWN
Description-Content-Type: text/markdown
