https://github.com/nomnomnonono/ffvae
Unofficial implementation of paper "Flexibly Fair Representation Learning by Disentanglement"
https://github.com/nomnomnonono/ffvae
deep-learning fairness fairness-ai fairness-ml machine-learning pytorch responsible-ai trustworthy-ai
Last synced: 6 months ago
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Unofficial implementation of paper "Flexibly Fair Representation Learning by Disentanglement"
- Host: GitHub
- URL: https://github.com/nomnomnonono/ffvae
- Owner: nomnomnonono
- Created: 2023-03-20T12:35:34.000Z (over 2 years ago)
- Default Branch: main
- Last Pushed: 2023-09-16T12:45:00.000Z (about 2 years ago)
- Last Synced: 2025-02-07T07:32:06.867Z (8 months ago)
- Topics: deep-learning, fairness, fairness-ai, fairness-ml, machine-learning, pytorch, responsible-ai, trustworthy-ai
- Language: Python
- Homepage:
- Size: 22.5 KB
- Stars: 1
- Watchers: 2
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# FFVAE: Flexibly Fair Representation Learning by Disentanglement
In progress...
非公式のFFVAE (https://arxiv.org/pdf/1906.02589.pdf) の再現実装です．実装にあたって，[disentangling-vae](https://github.com/YannDubs/disentangling-vae/tree/f0452191bab6d94eba0b4e6a065f74dcfd54ac52)を参考にしています．
## 実行環境
docker-composeを用います．インストールしていない人は公式のドキュメントに従ってインストールしてください．
- Dockerイメージの作成
```bash
$ make build
```
- Dockerコンテナ起動
```bash
$ make up
```
- Dockerコンテナに入る
```bash
$ make exec
```
## 実行方法
```bash
$ python main.py -c config/celeba.yaml
```