# zhanghang1989/pytorch-encoding

**Attribution required: if you use, quote, or summarise this content, you must credit and link back to [awesome-repositories.com](https://awesome-repositories.com/repository/zhanghang1989-pytorch-encoding).**

_How this analysis was created: the description and tags below were written by an AI model that read this project's README and public documentation pages; stars, license and language come straight from the GitHub API. The model does not read the source code._

2,045 stars · 450 forks · Python · MIT

## Links

- GitHub: https://github.com/zhanghang1989/PyTorch-Encoding
- Homepage: https://hangzhang.org/PyTorch-Encoding/
- awesome-repositories: https://awesome-repositories.com/repository/zhanghang1989-pytorch-encoding.md

## Topics

`batchnorm` `deep-learning` `encoding-layer` `synchronized-batchnorm`

## Description

A CV toolkit for my papers.

## Tags

### Part of an Awesome List

- [Segmentation Architectures](https://awesome-repositories.com/f/awesome-lists/ai/segmentation-architectures.md) — Encoding layer for segmentation in PyTorch.
- [Data and Graph Processing](https://awesome-repositories.com/f/awesome-lists/data/data-and-graph-processing.md) — Deep texture encoding network.
- [Developer Tools](https://awesome-repositories.com/f/awesome-lists/devtools/developer-tools.md) — Deep texture encoding network.
- [Model Utilities and Tools](https://awesome-repositories.com/f/awesome-lists/devtools/model-utilities-and-tools.md) — Deep texture encoding network implementation.