Yyyep41

Yyyep41's Stars

• SmithaUpadhyaya/fashion_image_caption

  Automate Fashion Image Captioning using BLIP-2. Automatic generating descriptions of clothes on shopping websites, which can help customers without fashion knowledge to better understand the features (attributes, style, functionality etc.) of the items and increase online sales by enticing more customers.

  Language:Jupyter Notebook5510

• guocheng2025/Transformer-Encoder

  Implementation of Transformer encoder in PyTorch

  Language:Python667

• inuwamobarak/Image-captioning-ViT

  Image Captioning Vision Transformers (ViTs) are transformer models that generate descriptive captions for images by combining the power of Transformers and computer vision. It leverages state-of-the-art pre-trained ViT models and employs technique

  Language:Jupyter Notebook294

• yumingj/DeepFashion-MultiModal

  A large-scale high-quality human dataset with rich multi-modal annotations

  56137

• facebookresearch/detectron2

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

  Language:Python31.4k7.6k

• peteanderson80/bottom-up-attention

  Bottom-up attention model for image captioning and VQA, based on Faster R-CNN and Visual Genome

  Language:Jupyter Notebook1.4k377

• SeanLi-OI/AI-Computing-System-Lab

  智能计算系统 实验部分

  Language:C++15467

• RahmanQureshi/ECE353-Blitz-Labs

  ECE353 Operating Systems Blitz Labs

  Language:Assembly1110

• liuhuanyong/QASystemOnMedicalKG

  A tutorial and implement of disease centered Medical knowledge graph and qa system based on it。知识图谱构建，自动问答，基于kg的自动问答。以疾病为中心的一定规模医药领域知识图谱，并以该知识图谱完成自动问答与分析服务。

  Language:Python6.6k2.2k

• PnYuan/Machine-Learning_ZhouZhihua

  Exercises answers to the book "machine-learning" written by Prof. Zhou Zhihua of Nanjing University

  Language:HTML536428