semantic-understanding

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luigifreda / pyslam

pySLAM is a hybrid Python/C++ Visual SLAM pipeline supporting monocular, stereo, and RGB-D cameras. It provides a broad set of modern local and global feature extractors, multiple loop-closure strategies, a volumetric reconstruction module, integrated depth-prediction models, and semantic segmentation capabilities for enhanced scene understanding.

slam place-recognition semantic-segmentation 3d-reconstruction depth-estimation visual-odometry feature-matching rgbd-slam instance-segmentation depth-prediction loop-closure local-features semantic-mapping global-features scene-understanding volumetric-reconstruction stereo-slam semantic-understanding gaussian-splatting end-to-end-reconstruction

Updated Feb 20, 2026
Python

ethz-asl / ucsa_neural_rendering

Star 40

[CVPR 2023] Unsupervised Continual Semantic Adaptation through Neural Rendering

semantic-segmentation nerf scannet continual-learning neural-rendering 3d-scene-understanding semantic-understanding cvpr2023

Updated Oct 18, 2023
Python

MusadiqPasha / KG-RAG-CrimeFilms

Star 2

Knowledge Graph-enhanced RAG system for in-depth analysis of crime film narratives.

nlp knowledge-graph question-answering rag semantic-understanding

Updated May 5, 2025
Jupyter Notebook

chigwell / vrscene-parser

Sponsor

Star 1

A new package would process textual descriptions of virtual reality scenes or environments and return structured, validated outputs that describe the scene in a standardized format. It would use an LL

nlp json automation validation consistency correctness metadata-extraction content-tagging semantic-understanding llm-interpretation structured-data-output schema-enforcement text-to-structured vr-scene-description standardized-schema automated-scene-generation vr-development-workflow llm-powered-generation

Updated Dec 21, 2025
Python

tahsinkoc / vectra

Star 0

Vectra is an API-first vector database designed for fast, meaningful semantic search. It enables applications to generate vectors, store embeddings, and perform high-performance similarity searches via simple HTTP requests, without adding computational load to core systems.

python nlp machine-learning high-performance embeddings semantic-search backend-api ai-search hnsw vector-search hnswlib vector-database semantic-understanding

Updated Jan 20, 2026
Python

gsmoon97 / llm-semantic-understanding

Star 0

A comprehensive framework for fine-tuning and evaluating Large Language Models on semantic understanding tasks (WSD & WiC) with LoRA

transformers pytorch word-sense-disambiguation llama gpt lora mistral fine-tuning semantic-understanding llm flan-t5 words-in-context

Updated Nov 17, 2025
Python

jd-coderepos / gnd-subject-indexer

Star 0

Docker-based web demo for Annif using GermEval 2025 LLMs4Subjects models (BM ensemble, Bonsai, MLLM).

natural-language-processing library ai natural-language-understanding gnd subject-indexing annif semantic-understanding llms4subjects germeval2025 library-ai

Updated Jan 15, 2026

flamehaven01 / ProofCore-AI-Benchmark

Star 0

ProofCore is a browser-native, 100% offline-first, hybrid mathematical proof verification engine. It combines rigorous symbolic math with semantic understanding to reliably verify mathematical proofs, offering zero external dependencies and production-ready quality