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It’s a unified PyTorch library for 3D point cloud deep learning. To our knowledge, it’s the first framework that supports such a large collection of models in one place, with built-in cross-validation support. It brings together 56 ready-to-use configurations covering supervised, self-supervised, and parameter-efficient fine-tuning methods. You can run everything from a single YAML file with one simple command. One of the best features: after training, you can automatically generate a publica...