Cython implementation of Coherent Point Drift (CPD)
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Updated
Mar 25, 2024 - Python
Cython implementation of Coherent Point Drift (CPD)
CP-APR Tensor Decomposition with PyTorch backend. pyCP_APR can perform non-negative Poisson Tensor Factorization on GPU, and includes an interface for anomaly detection using the extracted latent patterns.
Repo of data containing information on lawsuits and other relevant administrative actions filed against the Chicago Police Department and its officers. Non-exhaustive coverage of 1957 to 1967 and 2008 to 2021.
Pure Numpy Implementation of the Landmark-Guided Coherent Point Drift Algorithm
Random Forest of Tensors (RFoT) is a tensor decomposition based ensemble semi-supervised classifier.
Coherent-Point-Drift Implementation in Pytorch for 2D and 3D Point Cloud Registration
Python 3 Code of Cascaded Partial Decoder for Fast and Accurate Salient Object Detection (CVPR2019)
A microservice to run the Coherent Point Drift (CPD) method as a component of the SpatioTemporal Features eXtractor (stfX)
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