# Larq Zoo
[](https://github.com/larq/zoo/actions?workflow=Unittest) [](https://codecov.io/github/larq/zoo?branch=main) [](https://pypi.org/project/larq-zoo/) [](https://pypi.org/project/larq-zoo/) [](https://github.com/plumerai/larq-zoo/blob/main/LICENSE) [](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 `3.8`, `3.9`, or `3.10`
- [Tensorflow](https://www.tensorflow.org/install) version `2.4` up to `2.12` (latest at time of writing).
## 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.
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