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Awesome GitHub RepositoriesDeep Learning Components
Reusable software building blocks for organizing 3D data processing and neural network layers.
Distinct from Deep Learning: Focuses on providing reusable architectural components for 3D DL, unlike the candidate which is a general category for DL frameworks.
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Awesome Deep Learning Components GitHub Repositories
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- facebookresearch/pytorch3d
facebookresearch/pytorch3d
9,902Auf GitHub ansehenPyTorch3D is a 3D geometric deep learning library and mesh processing toolkit designed for learning from point clouds and complex 3D surface geometries. It provides a collection of reusable components and data structures for deep learning with 3D data, including a framework for training and evaluating neural radiance fields to enable photorealistic view synthesis. The project features a differentiable 3D renderer that converts meshes and point clouds into 2D images while allowing gradients to flow back into the geometry and textures. This enables 3D shape optimization, where mesh geometry, te
Provides reusable building blocks for organizing and managing 3D data processing and learning components.
Python
