schneider-p

schneider-p's Stars

• hoffstadt/DearPyGui

  Dear PyGui: A fast and powerful Graphical User Interface Toolkit for Python with minimal dependencies

  Language:C++13.5k1601.4k698

• pyro-ppl/pyro

  Deep universal probabilistic programming with Python and PyTorch

  Language:Python8.6k2011.1k984

• matze/mtheme

  A modern LaTeX Beamer theme

  Language:TeX6.5k128277845

• victoresque/pytorch-template

  PyTorch deep learning projects made easy.

  Language:Python4.8k55641.1k

• NVIDIA/MinkowskiEngine

  Minkowski Engine is an auto-diff neural network library for high-dimensional sparse tensors

  Language:Python2.5k46550369

• isl-org/DPT

  Dense Prediction Transformers

  Language:Python2.1k4382261

• CannyLab/tsne-cuda

  GPU Accelerated t-SNE for CUDA with Python bindings

  Language:Cuda1.8k30128130

• laurentkneip/opengv

  OpenGV is a collection of computer vision methods for solving geometric vision problems. It is hosted and maintained by the Mobile Perception Lab of ShanghaiTech.

  Language:C++1k6967357

• lightaime/deep_gcns

  Tensorflow Repo for "DeepGCNs: Can GCNs Go as Deep as CNNs?" ICCV2019 Oral https://www.deepgcns.org

  Language:Python630201488

• Hzzone/Precipitation-Nowcasting

  pytorch implemention of trajGRU.

  Language:Python567619167

• ldeecke/gmm-torch

  Gaussian mixture models in PyTorch.

  Language:Python53422788

• StevenLiuWen/ano_pred_cvpr2018

  Official implementation of Paper Future Frame Prediction for Anomaly Detection -- A New Baseline, CVPR 2018

  Language:Python4401670126

• dvlab-research/PointGroup

  PointGroup: Dual-Set Point Grouping for 3D Instance Segmentation

  Language:Python394136579

• zgojcic/3D_multiview_reg

  [CVPR2020] Learning multiview 3D point cloud registration

  Language:Python394312363

• drake7707/paintbynumbersgenerator

  Paint by numbers generator

  Language:JavaScript3231827150

• aimagelab/novelty-detection

  Latent space autoregression for novelty detection.

  Language:Python196121660

• hbilen/dynamic-image-nets

  Dynamic Image Networks for Action Recognition

  Language:MATLAB184182366

• JuanDuGit/DH3D

  DH3D: Deep Hierarchical 3D Descriptors for Robust Large-Scale 6DOF Relocalization

  Language:Python15961217

• Na-Z/sess

  [CVPR2020 Oral] SESS: Self-Ensembling Semi-Supervised 3D Object Detection

  Language:Python13871329

• jac99/MinkLoc3D

  MinkLoc3D: Point Cloud Based Large-Scale Place Recognition

  Language:Python1353919

• zhihao-lin/3dgcn

  Convolution in the Cloud: Learning Deformable Kernels in 3D Graph Convolution Networks for Point Cloud Analysis

  Language:Python12341116

• BorgwardtLab/GraphKernels

  A package for computing Graph Kernels

  Language:C++103102255

• BorgwardtLab/WWL

  Wasserstein Weisfeiler-Lehman Graph Kernels

  Language:Python806718

• EnyaHermite/SegGCN

  SegGCN: Efficient 3D Point Cloud Segmentation with Fuzzy Spherical Kernel

  Language:Python31337

• cgraumann/umeyama-matlab

  Simple Matlab implementation for the umeyama method for point cloud registration. Linked on Matlab Central.

  Language:Matlab281211

• zachluo/convlstm_anomaly_detection

  Language:C++253213

• mlosch/pytorch-stats

  Language:Python16205

• MRPT/pbmap

  Plane-based Mapping SLAM library ("Fast place recognition with plane-based maps", ICRA 2013)

  Language:C++11403

• nlskrg/optimal_assignment_kernels

  Source code for the paper "On Valid Optimal Assignment Kernels and Applications to Graph Classification", Nils M. Kriege, Pierre-Louis Giscard, Richard C. Wilson, NIPS 2016.

  Language:Java10103

• k-washi/3D-BoNet

  3D-BoNet in Tensorflow (NeurIPS 2019, Spotlight)

  Language:Jupyter Notebook1100