HOMURAandMADOKA's starred repositories
DUpsampling
This repo is an pytorch implementation of CVPR2019 paper: Decoders Matter for Semantic Segmentation: Data-Dependent Decoding Enables Flexible Feature Aggregation
Pytorch-Segmentation-multi-models
Pytorch implementation for Semantic Segmentation with multi models (Deeplabv3, Deeplabv3_plus, PSPNet, UNet, UNet_AutoEncoder, UNet_nested, R2AttUNet, AttentionUNet, RecurrentUNet,, SEGNet, CENet, DsenseASPP, RefineNet, RDFNet)
PH2-dataset
PH2 dataset
deeplabv3-plus-pytorch
这是一个deeplabv3-plus-pytorch的源码,可以用于训练自己的模型。
DeepGlobe-Road-Extraction-Challenge
D-LinkNet: LinkNet with Pretrained Encoder and Dilated Convolution for High Resolution Satellite Imagery Road Extraction
Human-Falling-Detect-Tracks-master
用yoloV3进行人的侦测,再用SPPE(Alphapose)进行骨架提取,再用连续30帧的ST-GCN进行行为识别。站立、走路、跌倒行为识别,在https://github.com/GajuuzZ/Human-Falling-Detect-Tracks的./models里面添加好了模型
crack-dataset
rock crack and CT rock slice crack dataset semantic segmentation dataset 岩石裂缝与CT岩心裂缝语义分割数据集
valuing-vicinity
Valuing Vicinity: Memory attention framework for context-based semantic segmentation in histopathology
mmsegmentation
OpenMMLab Semantic Segmentation Toolbox and Benchmark.
awesome-semantic-segmentation-pytorch
Semantic Segmentation on PyTorch (include FCN, PSPNet, Deeplabv3, Deeplabv3+, DANet, DenseASPP, BiSeNet, EncNet, DUNet, ICNet, ENet, OCNet, CCNet, PSANet, CGNet, ESPNet, LEDNet, DFANet)
deep-learning-for-image-processing
deep learning for image processing including classification and object-detection etc.
annotated_deep_learning_paper_implementations
🧑🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
pytorch_triple_extraction
基于pytorch的中文三元组提取(命名实体识别+关系抽取)
people_relation_extract
结合BERT+GRU+ATT模型,对自己收集的人物关系数据进行模型训练,用于人物关系抽取。
GPLinker_torch
CMeIE/CBLUE/CHIP/实体关系抽取/SPO抽取
Distant-Supervised-Chinese-Relation-Extraction
基于远监督的中文关系抽取
Competition-BMECUP-relation-extraction-master
这是2022年生医杯中文电子病历命名实体识别与关系抽取的项目
PaddleNLP
👑 Easy-to-use and powerful NLP and LLM library with 🤗 Awesome model zoo, supporting wide-range of NLP tasks from research to industrial applications, including 🗂Text Classification, 🔍 Neural Search, ❓ Question Answering, ℹ️ Information Extraction, 📄 Document Intelligence, 💌 Sentiment Analysis etc.