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
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
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file pysiml-0.2.8.dev202108091800-py3-none-any.whl.
File metadata
- Download URL: pysiml-0.2.8.dev202108091800-py3-none-any.whl
- Upload date:
- Size: 96.8 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: poetry/1.1.6 CPython/3.9.5 Linux/5.4.0-80-generic
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
1f3493737904c51bdf765c26776a1a1af2a1006cb14eec07884f7f842f9cc194
|
|
| MD5 |
2fd7dd8981ff45b8f5e537d369a2a04b
|
|
| BLAKE2b-256 |
b5f804535801b704f17106b01a986ff1a6af50c18d2b0af642e2b833a2c1f685
|
