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-0.2.1.dev202401250802-py3-none-any.whl (185.8 kB view details)

Uploaded Python 3

File details

Details for the file pysiml-0.2.1.dev202401250802-py3-none-any.whl.

File metadata

File hashes

Hashes for pysiml-0.2.1.dev202401250802-py3-none-any.whl
Algorithm Hash digest
SHA256 8951a139b6e85b3d6e919b0c10774f8cace06371eb40f410aac969f584e17a92
MD5 6731a8901a180d21bee74c7b39019e0a
BLAKE2b-256 a42805c1d190764f4b993f1a0e30090f6f76927171c735ba3e3ad8086a7e9f34

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