Metadata-Version: 2.1
Name: larq-zoo
Version: 1.0b4
Summary: Reference implementations of popular Binarized Neural Networks
Home-page: https://github.com/plumerai/larq-zoo
Author: Plumerai
Author-email: lukas@plumerai.co.uk
License: Apache 2.0
Description: # Larq Zoo
        
        [![GitHub Actions](https://github.com/larq/zoo/workflows/Unittest/badge.svg)](https://github.com/larq/zoo/actions?workflow=Unittest) [![Codecov](https://img.shields.io/codecov/c/github/larq/zoo)](https://codecov.io/github/larq/zoo?branch=master) [![PyPI - Python Version](https://img.shields.io/pypi/pyversions/larq-zoo.svg)](https://pypi.org/project/larq-zoo/) [![PyPI](https://img.shields.io/pypi/v/larq-zoo.svg)](https://pypi.org/project/larq-zoo/) [![Join the community on Spectrum](https://withspectrum.github.io/badge/badge.svg)](https://spectrum.chat/larq) [![PyPI - License](https://img.shields.io/pypi/l/larq-zoo.svg)](https://github.com/plumerai/larq-zoo/blob/master/LICENSE) [![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/ambv/black)
        
        For more information, see [larq.dev/zoo](https://docs.larq.dev/zoo/).
        
        *Larq Zoo is part of a family of libraries for BNN development; you can also check out [Larq](https://github.com/larq/larq) for building and training BNNs and [Larq Compute Engine](https://github.com/larq/compute-engine) for deployment on mobile and edge devices.*
        
        ## Requirements
        
        Before installing Larq Zoo, please install:
        
        - [Python](https://python.org) version `3.6` or `3.7`
        - [Tensorflow](https://www.tensorflow.org/install) version `1.14+` or `2.0.0`
        
        ## Installation
        
        You can install Larq Zoo with Python's [pip](https://pip.pypa.io/en/stable/) package manager:
        
        ```shell
        pip install larq-zoo
        ```
        
        ## About
        
        Larq Zoo is being developed by a team of deep learning researchers and engineers at Plumerai to help accelerate both our own research and the general adoption of Binarized Neural Networks.
        
Platform: UNKNOWN
Classifier: Development Status :: 2 - Pre-Alpha
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Education
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3 :: Only
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Scientific/Engineering :: Mathematics
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Topic :: Software Development
Description-Content-Type: text/markdown
Provides-Extra: tensorflow
Provides-Extra: tensorflow_gpu
Provides-Extra: test
