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

If you're not sure about the file name format, learn more about wheel file names.

pysiml-0.2.9.dev202305020647-py3-none-any.whl (151.9 kB view details)

Uploaded Python 3

File details

Details for the file pysiml-0.2.9.dev202305020647-py3-none-any.whl.

File metadata

File hashes

Hashes for pysiml-0.2.9.dev202305020647-py3-none-any.whl
Algorithm Hash digest
SHA256 65441db09b4e6c0832b7bd44d3926f13d22551ab52190a9a315340cbf5e0f883
MD5 0f9260fbb9ed08df6b96958bac326b98
BLAKE2b-256 ce67cd4155b477edde4de2e2362a9a05303f38286f266c5537324fbd321c1958

See more details on using hashes here.

Supported by

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