Stars
Python library for cleaning and regularising building footprints in geospatial data, aligning edges to principal directions and simplifying polygons for more accurate analysis.
Minkowski Engine is an auto-diff neural network library for high-dimensional sparse tensors
Sharpening Sentinel-2 with Planetscope imagery
Implements Kalman filter/Unscented Kalman Filter and a region growing algorithm for LiDAR noise detection tools.
(early development) R tools to search, activate and download satellite imagery from the Planet API.
opy3 / KPConv-PyTorch
Forked from HuguesTHOMAS/KPConv-PyTorchKernel Point Convolution implemented in PyTorch
PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.
Pointcept: Perceive the world with sparse points, a codebase for point cloud perception research. Latest works: Concerto (NeurIPS'25), Sonata (CVPR'25 Highlight), PTv3 (CVPR'24 Oral)
SynLiDAR: Synthetic LiDAR sequential point cloud dataset with point-wise annotations (AAAI2022)
(TPAMI2023) Unsupervised Point Cloud Representation Learning with Deep Neural Networks: A Survey
SpatioTemporal Asset Catalog API specification - an API to make geospatial assets openly searchable and crawlable
Repository for GIS related scripts, tools and recipes.
[NeurIPS'22] PointNeXt: Revisiting PointNet++ with Improved Training and Scaling Strategies
OpenPoints: a library for easily reproducing point-based methods for point cloud understanding. The engine for [PointNeXt](https://arxiv.org/abs/2206.04670)
Official Implementation (PyTorch) of "Point Cloud Augmentation with Weighted Local Transformations", ICCV 2021
A collection of Deep Learning projects and resources
A Large-scale Mobile LiDAR Dataset for Semantic Segmentation of Urban Roadways
Code for Revisiting Point Cloud Classification: A New Benchmark Dataset and Classification Model on Real-World Data, ICCV 2019
Deep learning applied to georeferenced datasets