Pinned Repositories
3D-Machine-Learning
A resource repository for 3D machine learning
3D-Point-Cloud-and-2D-Reprojection
This is the assignment of COMP 558, 3D point cloud and Rotation Translation. Please do not plagiarize, as it violate the honor codes.
3d_labeling_tools
Conditional_Random_Fields_Based_Point_Cloud_Segmentation
cpf_segmentation
Constrained Plane Fitting library for unsupervised segmentation of 3D point clouds
DeconvNet
DeconvNet : Learning Deconvolution Network for Semantic Segmentation
Digital-Forestry-Toolbox
A collection of digital forestry tools for Matlab/Octave
FastPointCloudSegmentation
A modified implementation of the point cloud segmentation method described in: http://ieeexplore.ieee.org/document/7989591/
gramm
Gramm is a powerful visualization toolbox which allows to quickly create complex, publication-quality figures in Matlab, and is inspired by R's ggplot2 library. As a reference to this inspiration, gramm stands for GRAMmar of graphics for Matlab.
have-fun-with-machine-learning
An absolute beginner's guide to Machine Learning and Image Classification with Neural Networks
Sunshinnnne329's Repositories
Sunshinnnne329/3D-Machine-Learning
A resource repository for 3D machine learning
Sunshinnnne329/3D-Point-Cloud-and-2D-Reprojection
This is the assignment of COMP 558, 3D point cloud and Rotation Translation. Please do not plagiarize, as it violate the honor codes.
Sunshinnnne329/3d_labeling_tools
Sunshinnnne329/cpf_segmentation
Constrained Plane Fitting library for unsupervised segmentation of 3D point clouds
Sunshinnnne329/Digital-Forestry-Toolbox
A collection of digital forestry tools for Matlab/Octave
Sunshinnnne329/FastPointCloudSegmentation
A modified implementation of the point cloud segmentation method described in: http://ieeexplore.ieee.org/document/7989591/
Sunshinnnne329/gramm
Gramm is a powerful visualization toolbox which allows to quickly create complex, publication-quality figures in Matlab, and is inspired by R's ggplot2 library. As a reference to this inspiration, gramm stands for GRAMmar of graphics for Matlab.
Sunshinnnne329/have-fun-with-machine-learning
An absolute beginner's guide to Machine Learning and Image Classification with Neural Networks
Sunshinnnne329/lectures
Oxford Deep NLP 2017 course
Sunshinnnne329/Lidar-Feature-Classification-With-TensorFlow
Sunshinnnne329/LiDARVF
LiDARVF is the repository dedicated to the implementation of a scanning LiDAR to detect obstacles and produce repulsive vector fields.
Sunshinnnne329/matconvnet
MatConvNet: CNNs for MATLAB
Sunshinnnne329/matconvnet-calvin
Code for several state-of-the-art papers in object detection and semantic segmentation.
Sunshinnnne329/Matlab_DTM_from_LIDAR_Point_Cloud
Sunshinnnne329/nanoflann
nanoflann: a C++11 header-only library for Nearest Neighbor (NN) search wih KD-trees
Sunshinnnne329/octnet
OctNet: Learning Deep 3D Representations at High Resolutions
Sunshinnnne329/Online-learning-with-3D-point-clouds-of-Oakland-Dataset
Sunshinnnne329/orion
ORION: Orientation-boosted Voxel Nets for 3D Object Recognition
Sunshinnnne329/pattern_classification
A collection of tutorials and examples for solving and understanding machine learning and pattern classification tasks
Sunshinnnne329/PointCloud-CRF
Conditional Random Fields label refine on pointcloud
Sunshinnnne329/pointcloud-semantic-segmentation
Simple baseline in Keras for semantic segmentation of point clouds
Sunshinnnne329/PointCloudProcessTool
Some tools for point cloud segmentation/filtering/classification/recognition/detection...
Sunshinnnne329/PointCloudSegmentation
A point cloud segmentation algorithm based on clustering analysis
Sunshinnnne329/PRMLT
Matlab code for algorithms in PRML book
Sunshinnnne329/python_for_data_analysis_2nd_chinese_version
《利用Python进行数据分析·第2版》
Sunshinnnne329/semantic3dnet
Point cloud semantic segmentation via Deep 3D Convolutional Neural Network
Sunshinnnne329/Supervoxel-for-3D-point-clouds
A no dependency, header-only, license free, fast supervoxel segmentation library for 3D point clouds
Sunshinnnne329/Vehicle_Detection_Recognition
This is a Matlab lesson design for vehicle detection and recognition. Using cifar-10Net to training a RCNN, and finetune AlexNet to classify. Thanks to Cars Dataset:http://ai.stanford.edu/~jkrause/cars/car_dataset.html
Sunshinnnne329/VGS-Segmentation
The source code for point cloud segmentation.
Sunshinnnne329/Vote3Deep_lidar
Implementation of Vote3Deep algorithm on KITTI Object detection data to reproduce the current benchmark results.