Metadata-Version: 2.1
Name: protoflow
Version: 0.0.1
Summary: Highly extensible, GPU-supported       Learning Vector Quantization (LVQ) toolbox built using       Tensorflow 2.x and its Keras API.
Home-page: https://github.com/theblackfly/protoflow
Author: Jensun Ravichandran
Author-email: jjensun@gmail.com
License: MIT
Download-URL: https://github.com/theblackfly/protoflow.git
Description: # ProtoFlow
        
        ProtoFlow is a TensorFlow-based Python toolbox for bleeding-edge research in prototype-based machine learning algorithms.
        
        ## Description
        
        This is a Python toolbox brewed at the Mittweida University of Applied Sciences
        in Germany for bleeding-edge research in Learning Vector Quantization (LVQ)
        methods. Although, there are other (perhaps more extensive) LVQ toolboxes
        available out there, the focus of ProtoFlow is ease-of-use, extensibility and
        speed.
        
        Many popular prototype-based Machine Learning (ML) algorithms like K-Nearest
        Neighbors (KNN), Generalized Learning Vector Quantization (GLVQ) and Generalized
        Matrix Learning Vector Quantization (GMLVQ) including the recent Learning Vector
        Quantization Multi-Layer Network (LVQMLN) are implemented as Tensorflow models
        using the Keras API.
        
        ## Installation
        
        ProtoFlow can be installed using `pip`.
        ```
        pip install protoflow
        ```
        
        ## Usage
        
        ProtoFlow is modular. It is very easy to use the modular pieces provided by
        ProtoFlow, like the layers, losses, callbacks and metrics to build your own
        prototype-based(instance-based) models. These pieces blend-in seamlessly with
        Keras allowing you to mix and match the modules from ProtoFlow with other Keras
        modules.
        
        ProtoFlow comes prepackaged with many popular LVQ algorithms in a convenient API,
        with more algorithms and techniques coming soon. If you would simply like to be
        able to use those algorithms to train large ML models on a GPU, ProtoFlow lets
        you do this without requiring a black-belt in high-performance Tensor computation.
        
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Education
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Operating System :: OS Independent
Classifier: Topic :: Software Development :: Libraries
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Description-Content-Type: text/markdown
Provides-Extra: other
Provides-Extra: tests
