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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
Methods and Implements of Deep Clustering
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…
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.
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.
🧊 A graphical program for exploring marching cubes + compute shaders in real-time.
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