torchfilter documentation ========================================== |build| |nbsp| |mypy| |nbsp| |lint| |nbsp| |coverage| `torchfilter` is a library for discrete-time Bayesian filtering in PyTorch. Source code on `Github `_. .. toctree:: :caption: API Reference :maxdepth: 3 :titlesonly: :glob: api/torchfilter/base/index api/torchfilter/data/index api/torchfilter/filters/index api/torchfilter/train/index api/torchfilter/types/index api/torchfilter/utils/index .. |build| image:: https://github.com/stanford-iprl-lab/torchfilter/workflows/build/badge.svg :alt: Build status icon .. |mypy| image:: https://github.com/stanford-iprl-lab/torchfilter/workflows/mypy/badge.svg?branch=master :alt: Mypy status icon .. |lint| image:: https://github.com/stanford-iprl-lab/torchfilter/workflows/lint/badge.svg :alt: Lint status icon .. |coverage| image:: https://codecov.io/gh/stanford-iprl-lab/torchfilter/branch/master/graph/badge.svg :alt: Test coverage status icon :target: https://codecov.io/gh/stanford-iprl-lab/torchfilter .. |nbsp| unicode:: 0xA0 :trim: