pydpf 1.1.3

A package for differentiable particle filtering

PyDPF is an extensible package for differentiable particle filtering. Designed for researchers and practitioners working with deep sequential Monte Carlo methods.

See the full documentation at: https://python-dpf.readthedocs.io/en/latest/index.html

Check out our getting started tutorial at: https://python-dpf.readthedocs.io/en/latest/tutorial.html

If you use this package in your publication please cite our paper:

@article{brady2025pydpf,
      title={PyDPF: A Python Package for Differentiable Particle Filtering},
      author={John-Joseph Brady and Benjamin Cox and Yunpeng Li and V\'{i}ctor Elvira},
      year={2025},
      journal={arXiv preprint arXiv:2510.25693},
      url={https://arxiv.org/abs/2510.25693},
}