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docs (readme): Fixed GH actions badges (#996)
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nickfraser authored Jul 31, 2024
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# Brevitas

[![Downloads](https://pepy.tech/badge/brevitas)](https://pepy.tech/project/brevitas)
![Pytest](https://github.com/Xilinx/brevitas/workflows/Pytest/badge.svg?branch=master)
![Examples Pytest](https://github.com/Xilinx/brevitas/workflows/Examples%20Pytest/badge.svg?branch=master)
[![Pytest](https://github.com/Xilinx/brevitas/actions/workflows/pytest.yml/badge.svg?branch=master)](https://github.com/Xilinx/brevitas/actions/workflows/pytest.yml)
[![Examples Pytest](https://github.com/Xilinx/brevitas/actions/workflows/examples_pytest.yml/badge.svg?branch=master)](https://github.com/Xilinx/brevitas/actions/workflows/examples_pytest.yml)
[![DOI](https://zenodo.org/badge/140494324.svg)](https://zenodo.org/badge/latestdoi/140494324)

Brevitas is a PyTorch library for neural network quantization, with support for both *post-training quantization (PTQ)* and *quantization-aware training (QAT)*.
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