Popular GitHub Repositories for Geo Mapping

A C library for parsing/normalizing street addresses around the world. Powered by statistical NLP and open geo data.

POT : Python Optimal Transport

A comprehensive mapping database of English to Chinese technical vocabulary in the artificial intelligence domain

视觉(语义) SLAM 相关研究跟踪

Fractal Graph-of-Thought. Rhizomatic Mind-Mapping for Ai-Agents, Web-Links, Notes, and Code.

? Stateful Serverless Framework for Geo-distributed Edge AI Infra. with function calling support, write once, run on any model.

Robot-centric elevation mapping for rough terrain navigation

Self-hosted open-source web gallery to view your photos and videos featuring mobile-friendly, tagging and AI powered image discovery

Python sample codes and documents about Autonomous vehicle control algorithm. This project can be used as a technical guide book to study the algorithms and the software architectures for beginners.

This sample has the full End2End process of creating RAG application with Prompty and Azure AI Foundry. It includes GPT 3.5 Turbo LLM application code, evaluations, deployment automation with AZD CLI, GitHub actions for evaluation and deployment and intent mapping for multiple LLM task mapping.

LSD (LiDAR SLAM & Detection) is an open source perception architecture for autonomous vehicle/robotic

Master's Thesis on Simultaneous Localization and Mapping in dynamic environments. Separately reconstructs both the static environment and the dynamic objects from it, such as cars.

CosmiQ Works Geospatial Machine Learning Analysis Toolkit

[IROS 2020] EAO-SLAM: Monocular Semi-Dense Object SLAM Based on Ensemble Data Association

A flexible submap-based framework towards spatio-temporally consistent volumetric mapping and scene understanding.

RXNMapper: Unsupervised attention-guided atom-mapping. Code complementing our Science Advances publication on "Extraction of organic chemistry grammar from unsupervised learning of chemical reactions" (https://advances.sciencemag.org/content/7/15/eabe4166).

[ICLR 2024] Map Learning with Lane Segment for Autonomous Driving

Spatial Representations for Artificial Intelligence - a Python library toolkit for geospatial machine learning focused on creating embeddings for downstream tasks

Semantic LIDAR odometry and mapping for cylinderical objects (e.g. trees in forests)

DeepTAM: Deep Tracking and Mapping https://lmb.informatik.uni-freiburg.de/people/zhouh/deeptam/