Skip to main content

Reference implementations of popular Binarized Neural Networks

Project description

Larq Zoo

GitHub Actions Codecov PyPI - Python Version PyPI PyPI - License Code style: black

For more information, see

Larq Zoo is part of a family of libraries for BNN development; you can also check out Larq for building and training BNNs and Larq Compute Engine for deployment on mobile and edge devices.


Before installing Larq Zoo, please install:

  • Python version 3.6, 3.7, 3.8, or 3.9
  • Tensorflow version 1.15, 2.0, 2.1, 2.2, 2.3, 2.4, 2.5, 2.6, 2.7, or 2.8`


You can install Larq Zoo with Python's pip package manager:

pip install larq-zoo


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.

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

larq-zoo-2.3.1.tar.gz (39.6 kB view hashes)

Uploaded source

Built Distribution

larq_zoo-2.3.1-py3-none-any.whl (57.1 kB view hashes)

Uploaded py3

Supported by

AWS AWS Cloud computing Datadog Datadog Monitoring Facebook / Instagram Facebook / Instagram PSF Sponsor Fastly Fastly CDN Google Google Object Storage and Download Analytics Huawei Huawei PSF Sponsor Microsoft Microsoft PSF Sponsor NVIDIA NVIDIA PSF Sponsor Pingdom Pingdom Monitoring Salesforce Salesforce PSF Sponsor Sentry Sentry Error logging StatusPage StatusPage Status page