Pinned Repositories
gaustudio
A Modular Framework for 3D Gaussian Splatting and Beyond
GaussianPro
[ICML2024] Official code for GaussianPro: 3D Gaussian Splatting with Progressive Propagation
awesome-gis
😎Awesome GIS is a collection of geospatial related sources, including cartographic tools, geoanalysis tools, developer tools, data, conference & communities, news, massive open online course, some amazing map sites, and more.
External-Attention-pytorch
🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐
learning3d
This is a complete package of recent deep learning methods for 3D point clouds in pytorch (with pretrained models).
Point-Cloud-Registration-and-Analysis
The repository mainly focuses on collecting recent works on point cloud registration, for sharing and better learning.
PointNetLK
This is the clean implementation of PointNetLK with pretrained models. (A 3D point cloud registration network)
probreg
Python package for point cloud registration using probabilistic model (Coherent Point Drift, GMMReg, SVR, GMMTree, FilterReg, Bayesian CPD)
torch-points3d
Pytorch framework for doing deep learning on point clouds.
TPE-3D-CNN
Spectral–Spatial Classification of Hyperspectral Image Based on Self-adaptive Deep Residual 3D Convolutional Neural Network
Yellowshuohahaha's Repositories
Yellowshuohahaha/Point-Cloud-Registration-and-Analysis
The repository mainly focuses on collecting recent works on point cloud registration, for sharing and better learning.
Yellowshuohahaha/torch-points3d
Pytorch framework for doing deep learning on point clouds.
Yellowshuohahaha/awesome-gis
😎Awesome GIS is a collection of geospatial related sources, including cartographic tools, geoanalysis tools, developer tools, data, conference & communities, news, massive open online course, some amazing map sites, and more.
Yellowshuohahaha/External-Attention-pytorch
🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐
Yellowshuohahaha/PointNetLK
This is the clean implementation of PointNetLK with pretrained models. (A 3D point cloud registration network)
Yellowshuohahaha/probreg
Python package for point cloud registration using probabilistic model (Coherent Point Drift, GMMReg, SVR, GMMTree, FilterReg, Bayesian CPD)
Yellowshuohahaha/learning3d
This is a complete package of recent deep learning methods for 3D point clouds in pytorch (with pretrained models).
Yellowshuohahaha/TPE-3D-CNN
Spectral–Spatial Classification of Hyperspectral Image Based on Self-adaptive Deep Residual 3D Convolutional Neural Network