An Open Framework for Architectural Caption and Attribute Data Enrichment via Street View Imagery

Transform geospatial relations into graph representations designed for spatial network analysis and Graph Neural Networks (GNNs).

pyntcloud is a Python library for working with 3D point clouds.

Awesome-LLM: a curated list of Large Language Model

COLMAP - Structure-from-Motion and Multi-View Stereo

A Python 3 library built on the Mapillary API v4 to facilitate retrieving and working with Mapillary data.

Fast points-in-polygon test and distances to polygons.

Karlsruhe Library of Urban Materials (KLUM) - a spectral library containing material samples and relevant metadata

This package is a one-stop solution for downloading, cleaning, analyzing street view imagery

Geospatial library wheels for Python on Windows.

Ultralytics YOLO 🚀

此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。

Geometry library for topological robustness

Curated list of links to 3D spatial (GIS) data 🌍

This project allows images to be automatically grouped into like clusters using a combination of machine learning techniques.

open Multi-View Stereo reconstruction library

Code to reproduce the results in the FAIR research papers "Semi-Supervised Learning of Visual Features by Non-Parametrically Predicting View Assignments with Support Samples" https://arxiv.org/abs/…

[ICCV 2023] P2C: Self-Supervised Point Cloud Completion from Single Partial Clouds

Ready-to-use code and tutorial notebooks to boost your way into few-shot learning for image classification.

Label-Pixels is the tool for semantic segmentation of remote sensing images using Fully Convolutional Networks. Initially, it is designed for extracting the road network from remote sensing imagery…

The ultimate list of open data semantic 3D city models

🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

Learning Rate Warmup in PyTorch

pytorch version of PointConv

Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain Generalization

The dataset

Inference code for CodeLlama models