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cae_lstm

A prototype implementation for In-air Knotting of Rope using Dual-Arm Robot based on Deep Learning, using PyTorch-Lightning. Trained over OpenAI Gym Car Racing environment.

cardio_volume_skewer

cardiospectrum

Official implementation of "CardioSpectrum: Comprehensive Myocardium Motion Analysis with 3D Deep Learning and Geometric Insights" from MICCAI 2024

cardiospectrumpage

cvaepage

flow_n_corr_utils

A package which analyses 3D flow and 3D correspondence results, visualizes and provides common tools to process them.

four_d_ct_cost_unrolling

A minimal, packed, implementation based on https://github.com/gallif/_4DCTCostUnrolling

mean_average_precision

Small and simple python/numpy utility to compute mean average precision (mAP) on detection task.

nexarstixelnet

StixelNet implementation on mobile

nlp-twitter-project

p2p_correspondence

Surface point-to-point correspondence using zoomout.

pointnet2_pytorch

PyTorch implementation of Pointnet2/Pointnet++

pointnet_pointnet2_pytorch

PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.

rocket

Our prototype implementation for ROCKET - Exceptionally fast and accurate time series classification using random convolutional kernels https://arxiv.org/abs/1910.13051

sts

STS - Spectral Teacher Spatial Student for dense shape correspondence

three_d_data_manager

A library which manages and processes 3D data samples