A highly efficient implementation of Q-Exponential Processes in PyTorch based on GPyTorch.

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Example

Check out the examples.

Documentation

Here is the documentation.

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Installation

pip

pip install qpytorch

conda

conda install -c conda-forge qpytorch

from source

git clone https://github.com/lanzithinking/qepytorch.git
cd qepytorch
conda env create -f env_install.yaml

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Team

• Maintain: Shiwei Lan (Arizona State University)
• Contribute: Shuyi Li, Guangting Yu, Zhi Chang, Chukwudi Paul Obite, Keyan Wu, and many more!

Citing Us

Li, Shuyi, Michael O’Connor, and Shiwei Lan. “Bayesian Learning via Q-Exponential Process.” In Advances in Neural Information Processing Systems (2023).

@inproceedings{li2023QEP,
  title={Bayesian Learning via Q-Exponential Process},
  author={Li, Shuyi, Michael O'Connor, and Shiwei Lan},
  booktitle={Advances in Neural Information Processing Systems},
  year={2023}
}