https://github.com/jvrana/caldera

🌋 Pytorch extension for training on biological network data (ARCHIVED)
https://github.com/jvrana/caldera

causal deep-learning graph network pytorch

Last synced: 5 months ago
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🌋 Pytorch extension for training on biological network data (ARCHIVED)

• Host: GitHub
• URL: https://github.com/jvrana/caldera
• Owner: jvrana
• License: mit
• Created: 2020-08-12T02:05:57.000Z (almost 6 years ago)
• Default Branch: master
• Last Pushed: 2021-05-06T19:47:55.000Z (about 5 years ago)
• Last Synced: 2025-09-22T04:10:16.754Z (9 months ago)
• Topics: causal, deep-learning, graph, network, pytorch
• Language: Python
• Homepage: https://jvrana.github.io/caldera/
• Size: 5.13 MB
• Stars: 1
• Watchers: 2
• Forks: 0
• Open Issues: 20
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# Caldera 🌋

![Code Quality](https://github.com/jvrana/caldera/workflows/Code%20Quality/badge.svg)

![Tests](https://github.com/jvrana/caldera/workflows/Tests/badge.svg)

![Documentation](https://github.com/jvrana/caldera/workflows/Documentation/badge.svg)

[![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black)

[![pre-commit](https://img.shields.io/badge/pre--commit-enabled-brightgreen?logo=pre-commit&logoColor=white)](https://github.com/pre-commit/pre-commit)

**PLEASE NOTE PROJECT HAS MOVED TO [Caldera2](https://github.com/jvrana/Caldera2)**

**Caldera** is a Pytorch extension for learning on graphical data. It learns underlying causal relationships in data.

## Gallery

## Usage

### Installation

#### via pip

#### via Conda

#### via Docker

**Build CUDA enable image**

```

docker build . -f docker/cu101/Dockerfile

```

**Build slim cpu-only image**

```

docker build . -f docker/cpu/Dockerfile

```

### Tour

## Acknowledgements

* [rusty1s/pytorch_scatter](https://github.com/rusty1s/pytorch_scatter) - an awesome library that provides missing 

scatter methods in pytorch. Necessary for graph attribute aggregation

* PyTorch Geometric - 

* PGN - provided a blueprint for implementing this library

## References

**Inspirations**

* Pytorch Geometric [ADD REF]

* GraphNets [ADD REF]

* Pyro Probabilistic Programming Language

* Pearl, J. (2009). Causality: Models, Reasoning and Inference.

* Pearl, J. (2018). Theoretical impediments to machine learning with seven sparks from the causal revolution.