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: 2 days ago
JSON representation

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 2 years ago)
• Default Branch: main
• Last Pushed: 2022-07-19T02:50:01.000Z (about 2 years ago)
• Last Synced: 2024-09-19T07:10:15.018Z (8 days 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

Awesome Lists containing this project

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]"

```