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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.*\n\n## Requirements\n\nBefore installing Larq Zoo, please install:\n\n- [Python](https://python.org) version `3.9` or `3.10`\n- [Tensorflow](https://www.tensorflow.org/install) version `2.4` up to `2.12`.\n\n## Installation\n\nYou can install Larq Zoo with Python's [pip](https://pip.pypa.io/en/stable/) package manager:\n\n```shell\npip install larq-zoo\n```\n\n## About\n\nLarq 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.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Flarq%2Fzoo","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Flarq%2Fzoo","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Flarq%2Fzoo/lists"}