PyTorch PointCloud
non-profit
AI & ML interests
Deep Learning for 3D Point Cloud / LiDAR
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PyTorch PointCloud (torch-pointcloud) is a collection of point cloud models, layers, utilities, datasets, transforms,
and reference training / benchmarking scripts that aim to reproduce SOTA models and help researchers and engineers reuse common layers.
Find all the torch-pointcloud models here.
models 134
torch-pointcloud/pointnext-sm.scanobjectnn-hardest.openpoints
1.38M • Updated
torch-pointcloud/pointnext-sm-c64.modelnet40.openpoints
4.54M • Updated
torch-pointcloud/lion-mamba.nuscenes.zhe-liu
Object Detection • 16.1M • Updated
torch-pointcloud/voxelnext.nuscenes.openpcdet
Object Detection • 8M • Updated
torch-pointcloud/second-multihead.nuscenes.openpcdet
Object Detection • 9.05M • Updated
torch-pointcloud/votenet.sunrgbd.fair
Object Detection • 959k • Updated
torch-pointcloud/votenet.scannet.fair
Object Detection • 962k • Updated
torch-pointcloud/utonia.pretrain.pointcept
0.1B • Updated
torch-pointcloud/utonia-lp.scannet20.pointcept
0.1B • Updated
torch-pointcloud/spvcnn-47gmacs.semantickitti.mit-han-lab
8.8M • Updated
datasets 0
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