https://github.com/vahidzee/torchde
PyTorch wrapper for Deep Density Estimation Models
https://github.com/vahidzee/torchde
density-estimation energy-based-model masked-autoencoder pytorch sgld
Last synced: 8 months ago
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PyTorch wrapper for Deep Density Estimation Models
- Host: GitHub
- URL: https://github.com/vahidzee/torchde
- Owner: vahidzee
- License: mit
- Created: 2022-06-06T09:44:32.000Z (over 3 years ago)
- Default Branch: main
- Last Pushed: 2022-07-19T02:50:01.000Z (about 3 years ago)
- Last Synced: 2024-09-28T13:22:43.989Z (about 1 year ago)
- Topics: density-estimation, energy-based-model, masked-autoencoder, pytorch, sgld
- Language: Python
- Homepage:
- Size: 181 KB
- Stars: 3
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
- Code of conduct: CODE_OF_CONDUCT.md
- Citation: CITATION.cff
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README
# Torch Density Estimation
Generic implementation of Deep Neural Networks for Density Estimation in [PyTorch](https://pytorch.org/) and [PytorchLightning](https://www.pytorchlightning.ai/).
## Installation
In order to network implementations install `torchde` via pip:
```shell
pip install torchde
```
In case you wish to employ the training procedures and datamodule implementations (on top of `pytorch-lightning`), you would need to install the additional tools as well:
```shell
pip install "torchde[tools]"
```