daanbl's Stars
ganeshrvel/openmtp
OpenMTP - Advanced Android File Transfer Application for macOS
mlfoundations/open_clip
An open source implementation of CLIP.
Amsterdam-AI-Team/Urban_PointCloud_Analysis
This repository contains methods for the automatic extraction of urban street furniture from labeled PointClouds.
hzxie/CityDreamer
The official implementation of "CityDreamer: Compositional Generative Model of Unbounded 3D Cities". (Xie et al., CVPR 2024)
yangyangyang127/Seg-NN
[CVPR2024 Hightlight] No Time to Train: Empowering Non-Parametric Networks for Few-shot 3D Scene Segmentation
opening-up-chatgpt/opening-up-chatgpt.github.io
Tracking instruction-tuned LLM openness. Paper: Liesenfeld, Andreas, Alianda Lopez, and Mark Dingemanse. 2023. “Opening up ChatGPT: Tracking Openness, Transparency, and Accountability in Instruction-Tuned Text Generators.” In Proceedings of the 5th International Conference on Conversational User Interfaces. doi:10.1145/3571884.3604316.
winstonyym/urbanity
A network-based python package to understand and model urban complexity
prs-eth/PanopticSegForLargeScalePointCloud
Code and dataset of paper "TOWARDS ACCURATE INSTANCE SEGMENTATION IN LARGE-SCALE LIDAR POINT CLOUDS"
Yarroudh/segment-lidar
Python package for segmenting LiDAR data using Segment-Anything Model (SAM) from Meta AI.
opengeos/segment-geospatial
A Python package for segmenting geospatial data with the Segment Anything Model (SAM)
VIDA-NYU/tile2net
Automated mapping of pedestrian networks from aerial imagery tiles
zexinyang/GlobalMatch
GlobalMatch: Registration of forest terrestrial point clouds by global matching of relative stem positions [ISPRS 2023]
xiaoaoran/3d_url_survey
(TPAMI2023) Unsupervised Point Cloud Representation Learning with Deep Neural Networks: A Survey
Rabbia-Hassan/Deep_Annular_Residual_Feature_Learning_for_3dPointClouds
Code release
fwilliams/point-cloud-utils
An easy-to-use Python library for processing and manipulating 3D point clouds and meshes.
Amsterdam-Internships/Pole-Part-Segmentation
This repository contains the implementation of Kernel Point Convolution (KPConv) to decompose the pole-like objects to their constituent part (part segmentation of the pole-like objects).
satellite-image-deep-learning/techniques
Techniques for deep learning with satellite & aerial imagery
weecology/DeepForest
Python Package for Airborne RGB machine learning
martibosch/detectree
Tree detection from aerial imagery in Python
CloudCompare/CloudComPy
Python wrapper for CloudCompare
Ddasch/Feature_Discovery
Amsterdam-AI-Team/Urban_PointCloud_Processing
Repository for automatic classification and labeling of Urban PointClouds using data fusion and region growing techniques.
leofansq/SCF-Net
[CVPR2021] SCF-Net: Learning Spatial Contextual Features for Large-Scale Point Cloud Segmentation
laspy/laspy
Laspy is a pythonic interface for reading/modifying/creating .LAS LIDAR files matching specification 1.0-1.4.
QingyongHu/RandLA-Net
🔥RandLA-Net in Tensorflow (CVPR 2020, Oral & IEEE TPAMI 2021)
QingyongHu/SQN
SQN in Tensorflow (ECCV'2022)
QingyongHu/SensatUrban
🔥Urban-scale point cloud dataset (CVPR 2021 & IJCV 2022)
tmontaigu/CloudCompare-PythonRuntime
Python plugin for CloudCompare
torch-points3d/torch-points3d
Pytorch framework for doing deep learning on point clouds.
konkor/cpufreq
System Monitor and Power Manager