Popular GitHub Repositories for Address Mapping

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

POT : Python Optimal Transport

An extension of Open3D to address 3D Machine Learning tasks

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.

Robot-centric elevation mapping for rough terrain navigation

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.

openai-proxy is a solution provided for Chinese users to address the issue of being unable to make requests to the OpenAI API.

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

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

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).

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/

Data stream analytics: Implement online learning methods to address concept drift and model drift in data streams using the River library. Code for the paper entitled "PWPAE: An Ensemble Framework for Concept Drift Adaptation in IoT Data Streams" published in IEEE GlobeCom 2021.

A text analyzer which is based on machine learning,statistics and dictionaries that can analyze text. So far, it supports hot word extracting, text classification, part of speech tagging, named entity recognition, chinese word segment, extracting address, synonym, text clustering, word2vec model, edit distance, chinese word segment, sentence similarity,word sentiment tendency, name recognition, idiom recognition, placename recognition, organization recognition, traditional chinese recognition, pinyin transform.