Self-study on Larry Wasserman's "All of Statistics"

A header-only C++ library for large scale eigenvalue problems

Official PyTorch implementation of Superpoint Transformer introduced in [ICCV'23] "Efficient 3D Semantic Segmentation with Superpoint Transformer" and SuperCluster introduced in [3DV'24 Oral] "Scal…

mlpack: a fast, header-only C++ machine learning library

C++ fast hierarchical clustering algorithms

Methods and Implements of Deep Clustering

Tiny OpenGL Wrapper / 3D Engine in C++

Visualization, processing and analysis of Lidar point clouds, mainly focused on forest environment. New version of 3D Forest. Process files with terabytes of data. Edit new point attributes. Simple…

Robust Tetrahedral Meshing in the Wild.

nanoflann: a C++11 header-only library for Nearest Neighbor (NN) search with KD-trees

an open, vendor-neutral, stand-alone, LAS-compatible full waveform LiDAR standard

Minimal and clean examples of machine learning algorithms implementations

Collection of various algorithms in mathematics, machine learning, computer science and physics implemented in C++ for educational purposes.

Octree/Quadtree/N-dimensional linear tree

Fast radius neighbor search with an Octree (ICRA 2015)

CPU Sparse Voxel Octree Implementation

A library for the parallel bottom-up creation of 2:1 balanced octrees.

Adaptive Linear Octrees in Python

🧊 A graphical program for exploring marching cubes + compute shaders in real-time.

The open source mesh processing system

Rail3D: Multi-Context Point Cloud Dataset and New Approach for Railways Semantic Understanding

A large-scale benchmark dataset for railway point cloud semantic segmentation.

A novel Clustering algorithm by measuring Direction Centrality (CDC) locally. It adopts a density-independent metric based on the distribution of K-nearest neighbors (KNNs) to distinguish between i…

A method for detecting fallen trees from a laser scanning point cloud

Code and dataset of paper "TOWARDS ACCURATE INSTANCE SEGMENTATION IN LARGE-SCALE LIDAR POINT CLOUDS"

Code of Globally Consistent Normal Orientation for Point Clouds by Regularizing the Winding-Number Field. ACM Transactions on Graphics (SIGGRAPH 2023).

This is the code repository implementing the paper "TreePartNet: Neural Decomposition of Point Clouds for 3D Tree Reconstruction".

3D U-Net model for volumetric semantic segmentation written in pytorch