Concrete Crack and Spalling Detection using Deep Neural Network

RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding.

Open source deep learning based unsupervised image retrieval toolbox built on PyTorch🔥

[TPAMI2024] Learning to Holistically Detect Bridges from Large-Size VHR Remote Sensing Imagery

Search photos on Unsplash based on OpenAI's CLIP model, support search with joint image+text queries and attention visualization.

External Knowledge Graph Reasoning

house price prediction

Generative Structural Design Based on BIM

个人的开源医学项目（做具有临床口腔医学先验知识医学GPT的向量搜索引擎训练、人卫电子书教材内容检索/高质量NLP医学数据集/CV/Crawl...）

A PyTorch framework for medical image segmentation

SEG-GRAD-CAM: Interpretable Semantic Segmentation via Gradient-Weighted Class Activation Mapping

crack segmentation

DECS-Net: with Haar wavelet-based attention

Complementary networks based on CNN and Transformer

Boundary Guidance Crack Segmentation Model

Building Inspection Toolkit

Code for the EG-ICE 2021 Paper "IFCNet: A Benchmark Dataset for IFC Entity Classification"

Exploring CNN and ViT for Semi-Supervised Medical Image Segmentation

Techniques for deep learning with satellite & aerial imagery

Implementation of the paper "AECIF-Net: An Attention-Enhanced Co-Interactive Fusion Network for Automated Structural Condition Assessment in Visual Inspection"

The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery 🧑‍🔬

Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.

The Multimodal Model for Vietnamese Visual Question Answering (ViVQA)