parallel-non-linear-gaussian-smoothers | Companion code in JAX for the paper Parallel

by EEA-sensors Jupyter Notebook Version: v1.1.1 License: MIT

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kandi X-RAY | parallel-non-linear-gaussian-smoothers Summary

parallel-non-linear-gaussian-smoothers is a Jupyter Notebook library. parallel-non-linear-gaussian-smoothers has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

This is an implementation of parallelized Extended and Sigma-Points Bayesian Filters and Smoothers with CPU/GPU/TPU support coded using JAX primitives, in particular associative scan.

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Support

parallel-non-linear-gaussian-smoothers has a low active ecosystem.

It has 13 star(s) with 1 fork(s). There are 4 watchers for this library.

It had no major release in the last 12 months.

There are 0 open issues and 4 have been closed. On average issues are closed in 0 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of parallel-non-linear-gaussian-smoothers is v1.1.1

Quality

parallel-non-linear-gaussian-smoothers has no bugs reported.

Security

parallel-non-linear-gaussian-smoothers has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

parallel-non-linear-gaussian-smoothers is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

parallel-non-linear-gaussian-smoothers releases are available to install and integrate.

Installation instructions, examples and code snippets are available.

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parallel-non-linear-gaussian-smoothers Key Features

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parallel-non-linear-gaussian-smoothers Examples and Code Snippets

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Vulnerabilities

No vulnerabilities reported

Install parallel-non-linear-gaussian-smoothers

Manually install the dependencies jax and jaxlib, and for examples only matplotlib, numba, tqdm.
With GPU CUDA 11.0 support Using pip Run pip install https://github.com/EEA-sensors/parallel-non-linear-gaussian-smoothers.git -f https://storage.googleapis.com/jax-releases/jax_releases.html By cloning Clone https://github.com/EEA-sensors/parallel-non-linear-gaussian-smoothers.git Run pip install -r requirements.txt -f https://storage.googleapis.com/jax-releases/jax_releases.html Run python setup.py [install|develop] depending on the level of installation you want
Without GPU support By cloning Clone https://github.com/EEA-sensors/parallel-non-linear-gaussian-smoothers.git Run python setup.py [install|develop] --no-deps depending on the level of installation you want