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Projects in Awesome Lists tagged with 3d-classification

A curated list of projects in awesome lists tagged with 3d-classification .

https://github.com/colin97/openshape_code

official code of “OpenShape: Scaling Up 3D Shape Representation Towards Open-World Understanding”

3d 3d-classification 3d-shape-retrieval 3d-understanding image-generation point-cloud point-cloud-caption zero-shot-classification zero-shot-retrieval

Last synced: 07 Apr 2025

https://github.com/zfturbo/classification_models_3d

Set of models for classifcation of 3D volumes

3d-classification deep-learning image-classification keras

Last synced: 05 Apr 2025

https://github.com/3dlg-hcvc/duoduoclip

[ICLR 2025] Duoduo CLIP: Efficient 3D Understanding with Multi-View Images

3d-classification 3d-shape-retrieval 3d-understanding clip multi-modal-learning pytorch

Last synced: 05 Apr 2025

https://github.com/minzhang-1/PointHop

PointHop: An Explainable Machine Learning Method for Point Cloud Classification

3d-classification classification feedforward machine-learning point-cloud

Last synced: 20 Mar 2025

https://github.com/minzhang-1/PointHop2

PointHop++: A Lightweight Learning Model on Point Sets for 3D Classification

3d-classification 3d-graphics classification point-cloud

Last synced: 20 Mar 2025

https://github.com/minzhang-1/PointHop-PointHop2_Spark

A fast and low memory requirement version of PointHop and PointHop++, which is built upon Apache Spark.

3d 3d-classification classification feature-extraction knn least-square-regression pca point-cloud pyspark python spark

Last synced: 20 Mar 2025

https://github.com/kentaroy47/kaggle-nflimpact-13thplace

Solution of team tara: Public 7th, Private 13th (The renewed pipeline scores 8th place)

3d-classification kaggle pytorch video-recognition

Last synced: 10 Oct 2025

https://github.com/fitushar/multi-label-weakly-supervised-classification-of-body-ct

A rule-based algorithm enabled the automatic extraction of disease labels from tens of thousands of radiology reports. These weak labels were used to create deep learning models to classify multiple diseases for three different organ systems in body CT.

3d 3d-classification 3d-resnet 3d-segmentation ct ct-scan-images kidney kidney-disease kidney-disease-prediction liver-disease liver-disease-prediction machine-learning multi-label-disease multi-label-disease-classification multi-label-image-classification rule-based-modeling tensorflow2 weakly-supervised-learning

Last synced: 06 Sep 2025