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-0.2.1.dev202403041239-py3-none-any.whl (187.0 kB view details)

Uploaded Python 3

File details

Details for the file pysiml-0.2.1.dev202403041239-py3-none-any.whl.

File metadata

File hashes

Hashes for pysiml-0.2.1.dev202403041239-py3-none-any.whl
Algorithm Hash digest
SHA256 9b3325c0a3c16f54244cbf885640aec8be3999191cef706efc400f0d6a1368b1
MD5 585994b411d9525f3b8e9e4123b57b33
BLAKE2b-256 40dbc68b846992faa9a44d600bde856a000b0b641bde8f0069de78b69b678466

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