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

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• '''Short Description''':  
• '''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


• '''Reference, URL''':  
• '''Applicable Business Category''': MAnufacturing : WEEE & Battery


• '''Relevant Domain/Industry''': WEEE & Battery
• '''Application in relevant Projects/Initiatives''': N.A.


• '''Application in relevant Projects/Initiatives''':  
• '''Asset Type''': Library (Datasets / ML model / Utilities)


• '''Type''':  
• '''AI Breadth''': DL, computer vision


• '''AI Breadth''':  
• '''Learning Ability''': Supervised & Unsupervised learning


• '''Learning Ability''':
• '''Related technologies''': N.A


• '''Related technologies''':
• '''Applicable Research Area''': Physical AI


• '''License Information''': Proprietary license
• '''Applicable Technical Category''': Machine Learning


• '''Related to circularity and sustainability''':  
• '''License Information''': Apache License 2.0 (Apache-2.0)


• '''Audience''': Manufacturer
• '''Related to circularity and sustainability''': No
 
• '''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



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