Popular GitHub Repositories for Manual Mapping

A reference containing Styles and Keywords that you can use with MidJourney AI. There are also pages showing resolution comparison, image weights, and much more!

POT : Python Optimal Transport

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

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

视觉(语义) SLAM 相关研究跟踪

Robot-centric elevation mapping for rough terrain navigation

AutoGroq is a groundbreaking tool that revolutionizes the way users interact with Autogen? and other AI assistants. By dynamically generating tailored teams of AI agents based on your project requirements, AutoGroq eliminates the need for manual configuration and allows you to tackle any question, problem, or project with ease and efficiency.

YEDDA: A Lightweight Collaborative Text Span Annotation Tool. Code for ACL 2018 Best Demo Paper Nomination.

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.

A Robust Approach for LiDAR-Inertial Odometry Without Sensor-Specific Modelling

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

CoexistAI is a modular, developer-friendly research assistant framework . It enables you to build, search, summarize, and automate research workflows using LLMs, web search, Reddit, YouTube, and mapping tools—all with simple MCP tool calls or API calls or Python functions.

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

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).

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

Gain insights into MS-RPC implementations that may be vulnerable using an automated approach and make it easy to visualize the data. By following this approach, a security researcher will hopefully identify interesting RPC services in such a time that would take a manual approach significantly more.

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