torch-points3d
Point cloud modeler
A PyTorch framework for building and training deep learning models on point clouds.
Pytorch framework for doing deep learning on point clouds.
219 stars
1 watching
46 forks
last commit: almost 3 years ago
Linked from 1 awesome list
ly0n/awesome-robotic-toolingRelated projects:
| Repository | Description | Stars |
|---|---|---|
 idegelis/torch-points3d-siamesekpconv | A deep learning framework for 3D point cloud analysis, specifically for change detection and segmentation tasks. | 31 |
 fxia22/pointnet.pytorch | This is an implementation of the PointNet algorithm in PyTorch for 3D point cloud classification and segmentation tasks. | 2,149 |
 pytorchbearer/torchbearer | A PyTorch model fitting library designed to simplify the process of training deep learning models. | 636 |
 ne7ermore/torch-light | A comprehensive PyTorch-based deep learning repository with examples and implementations of various models and techniques. | 535 |
 qingyonghu/randla-net | A deep learning framework for efficient semantic segmentation of large-scale 3D point clouds | 1,312 |
 torch/cutorch | Provides a CUDA backend for the PyTorch deep learning framework | 336 |
 kaiyangzhou/dassl.pytorch | A PyTorch toolbox for supporting research and development of domain adaptation, generalization, and semi-supervised learning methods in computer vision. | 1,217 |
 canqin001/pointdan | Develops a deep learning model for domain adaptation on 3D point cloud data | 130 |
 yangyanli/pointcnn | A deep learning framework for processing 3D point cloud data to extract relevant features for classification and segmentation tasks. | 1,382 |
 zhanghang1989/pytorch-encoding | A Python framework for building deep learning models with optimized encoding layers and batch normalization. | 2,041 |
 dmmiller612/sparktorch | A PyTorch implementation on Apache Spark for distributed deep learning model training and inference. | 339 |
 krrish94/chamferdist | A PyTorch module for computing the Chamfer distance between two 3D point clouds. | 306 |
 daavoo/pyntcloud | A Python library for processing and manipulating 3D point clouds | 1,415 |
 matlab-deep-learning/pretrained-salsanext | Provides pre-trained deep learning model for semantic segmentation of 3D point clouds using SalsaNext architecture | 14 |
 hugoledoux/sst | A suite of Rust-based tools for processing and analyzing lidar point clouds from LAZ files. | 2 |