Skip to main content

SiML - a Simulation ML library

Project description

SiML: A Simulation ML library

SiML is a machine learning library focusing on geometrical and simulation data. It facilitates machine learning processes, including preprocessing, learning, and prediction. In particular, SiML has handy functionalities to handle geometrical data, which are in graph or point cloud formats in general.

Documentation

https://ricosjp.github.io/siml

License

Apache License 2.0.

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distribution

pysiml-0.2.8.dev202208200723-py3-none-any.whl (122.6 kB view details)

Uploaded Python 3

File details

Details for the file pysiml-0.2.8.dev202208200723-py3-none-any.whl.

File metadata

File hashes

Hashes for pysiml-0.2.8.dev202208200723-py3-none-any.whl
Algorithm Hash digest
SHA256 fa5e3e18bbad29c12f23ae9506db2144e9bdfca990f39504b81e914e901a226d
MD5 420d7771e01becf00bb442836db30744
BLAKE2b-256 d6b5cc8eb0d91221b2bc66b4333c1cf8c8b5b35d1e4fb15ad19244a52934cd5d

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page