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mit-han-lab/torchsparse

TorchSparse is a high-performance PyTorch extension that accelerates sparse convolution operations for point cloud neural networks.

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TorchSparse provides optimized GPU kernels for sparse convolution operations used in point cloud processing neural networks. It supports both training and inference workflows, achieving significant speedups over existing libraries like MinkowskiEngine and SpConv. The library has been adopted in autonomous driving applications and 3D computer vision research, with publications at top ML systems conferences.

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