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.dev202306240932-py3-none-any.whl (173.3 kB view details)

Uploaded Python 3

File details

Details for the file pysiml-0.2.9.dev202306240932-py3-none-any.whl.

File metadata

File hashes

Hashes for pysiml-0.2.9.dev202306240932-py3-none-any.whl
Algorithm Hash digest
SHA256 9c6e6852cf6a518e187ef1c1c7a654017af6a10e3697e34cd07f20af1bb7903c
MD5 b629da9e629a80e99418079a3d6e86ee
BLAKE2b-256 19dce945f32d5b83861b1a1e53bd2a4c232c3b3ef44700e99baeb73bb5a4d873

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