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.dev202411190521-py3-none-any.whl (192.2 kB view details)

Uploaded Python 3

File details

Details for the file pysiml-0.2.1.dev202411190521-py3-none-any.whl.

File metadata

File hashes

Hashes for pysiml-0.2.1.dev202411190521-py3-none-any.whl
Algorithm Hash digest
SHA256 ea93cca21fd8590e46ea5f83a853cb663830d8c1f6f427149454e7a00a8db5e3
MD5 be87be42317bbdc77732e2e65bd8e265
BLAKE2b-256 2924e129a5753e65957ea344698610a559cb15a75db02eee4af375aa7f6f5521

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