B.4: NVIDIA kaolin tools and resources: Difference between revisions

From Circular Twain - Reference Implementations Wiki
Jump to navigationJump to search
No edit summary
No edit summary
 
(One intermediate revision by the same user not shown)
Line 5: Line 5:
• '''Reference, URL''': https://github.com/NVIDIAGameWorks/kaolin
• '''Reference, URL''': https://github.com/NVIDIAGameWorks/kaolin


• '''Relevant Domain/Industry''': WEEE & Battery
• '''Applicable Business Category''': MAnufacturing : WEEE & Battery


• '''Application in relevant Projects/Initiatives''': N.A.
• '''Application in relevant Projects/Initiatives''': N.A.


• '''Type''': Datasets / ML model / Utilities
• '''Asset Type''': Library (Datasets / ML model / Utilities)


• '''AI Breadth''': DL, computer vision
• '''AI Breadth''': DL, computer vision
Line 15: Line 15:
• '''Learning Ability''': Supervised & Unsupervised learning
• '''Learning Ability''': Supervised & Unsupervised learning


• '''Related technologies''':
• '''Related technologies''': N.A
 
• '''Applicable Research Area''': Physical AI
 
• '''Applicable Technical Category''':  Machine Learning


• '''License Information''': Apache License 2.0 (Apache-2.0)
• '''License Information''': Apache License 2.0 (Apache-2.0)
Line 21: Line 25:
• '''Related to circularity and sustainability''': No
• '''Related to circularity and sustainability''': No


• '''Audience''': Manufacturer
• '''Audience''': Manufacturers





Latest revision as of 09:29, 27 December 2024

Short Description: NVIDIA Kaolin library provides a PyTorch API for working with a variety of 3D representations and includes a growing collection of GPU-optimized operations such as modular differentiable rendering, fast conversions between representations, data loading, 3D checkpoints and more.

Reference, URL: https://github.com/NVIDIAGameWorks/kaolin

Applicable Business Category: MAnufacturing : WEEE & Battery

Application in relevant Projects/Initiatives: N.A.

Asset Type: Library (Datasets / ML model / Utilities)

AI Breadth: DL, computer vision

Learning Ability: Supervised & Unsupervised learning

Related technologies: N.A

Applicable Research Area: Physical AI

Applicable Technical Category: Machine Learning

License Information: Apache License 2.0 (Apache-2.0)

Related to circularity and sustainability: No

Audience: Manufacturers



Go back to the AI portfolio of reference implementations