SiBaiRui

SiBaiRui's Stars

• SSSxCCC/Survival

  A 2D multiplayer game written in Unity.

  Language:C#82

• yiyang-git/GraphVisualRec

  Biennial Project: Knowledge Graph-based Intelligent Recommendation System for Industrial Big Data；毕设项目：基于知识图谱的工业大数据智能推荐系统

  Language:HTML1

• liubin18911671739/KGBERS

  Knowledge Graph based Education Recommendation Systems

  Language:Python5

• Keisong/KGRecommendation

  Knowledge Graph + Recommendation System + Progressive Recommendation

  Language:Python52

• QuXiaolong0812/VG-MKGAN

  This is an VG- MKGAN related data processing workspace.

  Language:Python2

• OpenISS/kg-recommendation-framework

  Knowledge Graph-based Recommendation System Framework

  Language:Python168

• QuXiaolong0812/KGR4TCM

  Knowledge Graph-based Intelligent Recommender System for Traditional Chinese Medicine

  Language:Python6

• 2020MEAI/TCMLLM

  中医药大模型

  8910

• tutusjtu/FigureBestv4.4

  Data graph beautification for MATLAB

  205

• huangtinglin/Knowledge_Graph_based_Intent_Network

  Learning Intents behind Interactions with Knowledge Graph for Recommendation, WWW2021

  Language:Python21148

• ZHCSOFT/hurbCrawler

  Language:Python167

• THU-LYJ-Lab/T3Bench

  T3Bench: Benchmarking Current Progress in Text-to-3D Generation

  Language:Python1.1k10

• alexislintw/TCM-Symptom-NER

  A Named Entity Recognition Task: Extracting Symptom Words from TCM Medical Records

  Language:Jupyter Notebook3

• seukgcode/ASKRL

  1

• GZU-SAMLab/MSKD

  Mutil-stage knowledge distillation (MSKD) can facilitate the accuracy of plant disease detection, which may be a new and vital direction for lightweight algorithmic models in smart agriculture with practical applications.

  Language:Python31

• GZU-SAMLab/CSNet

  Count-Supervised Network (CSNet) can complete the counting of wheat ears with only quantitative supervision. CSNet: A Count-supervised Network via Multiscale MLP-Mixer for Wheat Ear Counting

  Language:Python30

• GZU-SAMLab/MISL

  We propose a text-guided image inpainting method with multi-grained image-text semantic learning (MISL), consisting of global-local generators and discriminators.

  Language:Python32

• GZU-SAMLab/VegSegment_SR

  Phenotype segmentation method based on spectral reconstruction for UAV field vegetation.

  Language:Python30

• GZU-SAMLab/McQNet

  Meta-contrastive Learning with Support-based Query Interaction for Few-shot Fine-grained Visual Classification

  Language:Python33

• GZU-SAMLab/CDKM

  Common and Distinct Knowledge Mining Network with Content Interaction for Dense Captioning

  Language:Python33

• GZU-SAMLab/LCM-Captioner

  LCM-Captioner is an efficient model for Text-based Image Captioning(TextCap).

  30

• GZU-SAMLab/AA-Trans

  AA-trans: Core attention aggregating transformer with informationentropy selector for fine-grained visual classification

  Language:Python361

• zxlzr/MarkTool

  MarkTool是一款基于web的开源通用文本标注工具，支持大规模实体标注、关系标注、事件标注、文本分类、基于字典匹配和正则匹配的自动标注以及用于实现归一化的标准名标注，同时也支持文本的迭代标注和实体的嵌套标注。标注规范可自定义且同类型任务中可“一次创建多次复用”。通过分级实体集合扩大了实体类型的规模，并设计了全新高效的标注方式，提升了用户体验和标注效率。此外，MarkTool增加了审核环节，可对多人的标注结果进行一致性检验和调整，提高了标注语料的准确率和可靠性。

  1