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-0.2.8.dev202212281845-py3-none-any.whl (128.4 kB view details)

Uploaded Python 3

File details

Details for the file pysiml-0.2.8.dev202212281845-py3-none-any.whl.

File metadata

File hashes

Hashes for pysiml-0.2.8.dev202212281845-py3-none-any.whl
Algorithm Hash digest
SHA256 87848298a40453816a386cb49ec6008fedea9a0645cd5bd44e588690cf113cf3
MD5 1ea2c13475b6ebd62f3dc5867092cd5f
BLAKE2b-256 0cbe9b9726582c6cec0e99865419c05652652b8d82d582bfe25f31a97fc55f67

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