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6 models· Recommendation Systems, 3D & Model Generation

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by Meta · 0 reviews

An open-source deep learning architecture for recommendation systems that combines dense and sparse features through embedding tables, interaction layers, and MLP components, used for CTR prediction and personalization.

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Nerfstudio

by UC Berkeley · 0 reviews

An open-source framework for neural radiance field development providing plug-and-play components for NeRF-based 3D reconstruction from images.

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Instant-NGP

by NVIDIA · 0 reviews

A framework for neural graphics primitives enabling fast training and rendering of neural radiance fields using learned hash tables.

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libFM

by Steffen Rendle · 0 reviews

A supervised learning implementation of factorization machines for classification, regression, and ranking that captures feature interactions, widely used in recommendation systems.

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PointNet

by Stanford University · 0 reviews

A deep learning architecture for directly processing point clouds without converting to regular grids, used for 3D object classification and segmentation.

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DeepFM

by Huawei Noah's Ark Lab · 0 reviews

An end-to-end wide-and-deep learning framework combining factorization machines and neural networks for click-through-rate prediction.

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