ivy-llc/mech
Mechanics functions with end-to-end support for deep learning developers, written in Ivy.
This library offers foundational mechanics functions for deep learning workflows. It takes various forms of orientation, pose, and positional data, and allows for conversions between these representations as well as transformations between different frames of reference. This is ideal for machine learning developers working on projects requiring precise handling of spatial data across different deep learning frameworks.
No commits in the last 6 months.
Use this if you are a deep learning developer needing robust and framework-agnostic functions for processing spatial mechanics data.
Not ideal if you are an end-user without deep learning development experience or if your project doesn't involve machine learning.
Stars
14
Forks
9
Language
Python
License
Apache-2.0
Category
Last pushed
Aug 28, 2023
Commits (30d)
0
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