lu8lu

lu8lu's Stars

• xq141839/MSAU-Net

  MICCAI-COMPAY-2021: An automatic nuclei image segmentation based on multi-scale split-attention u-net

  Language:Python41

• LeeJunHyun/Image_Segmentation

  Pytorch implementation of U-Net, R2U-Net, Attention U-Net, and Attention R2U-Net.

  Language:Python2.8k605

• HuCaoFighting/Swin-Unet

  [ECCVW 2022] The codes for the work "Swin-Unet: Unet-like Pure Transformer for Medical Image Segmentation"

  Language:Python1.8k327

• berniwal/swin-transformer-pytorch

  Implementation of the Swin Transformer in PyTorch.

  Language:Python813129

• microsoft/Swin-Transformer

  This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".

  Language:Python14.2k2.1k

• JingyunLiang/SwinIR

  SwinIR: Image Restoration Using Swin Transformer (official repository)

  Language:Python4.6k558

• wesley1001/MACNN

  Multi-scale Attention Convolutional Neural Network for Time Series Classification

  215

• zachysun/MACNN-Pytorch

  Unofficial implementation of paper “Multi-scale Attention Convolutional Neural Network for time series classification”[Neural Networks2021]

  Language:Python161

• YOLOonMe/EMA-attention-module

  Implementation Code for the ICCASSP 2023 paper " Efficient Multi-Scale Attention Module with Cross-Spatial Learning" and is available at: https://arxiv.org/abs/2305.13563v2

  21113

• wanghq21/MICN

  Code release of paper "MICN: Multi-scale Local and Global Context Modeling for Long-term Series Forecasting" (ICLR 2023)

  Language:Python10513

• NREL/wakebench_swift

  Language:Jupyter Notebook34

• liguodongiot/llm-action

  本项目旨在分享大模型相关技术原理以及实战经验（大模型工程化、大模型应用落地）

  Language:HTML12.7k1.4k

• NREL/flasc

  A rich floris-driven suite for SCADA analysis

  Language:Jupyter Notebook3319

• gantech/fastv8DriverProgram

  Driver Program for FAST v8

  Language:Roff26

• gantech/SOWFA

  Language:Roff2

• Bartdoekemeijer/SOWFA_tools

  A collection of SOWFA pre- and post-processing tools for internal use at the Data-Driven Controls Research group at TU Delft

  Language:MATLAB42

• palschmitt/turbinesFoam

  AL model with structural solver

  Language:C++1

• turbinesFoam/turbinesFoam

  Actuator line modeling extension library for OpenFOAM.

  Language:C++11461

• IEAWindTask37/IEA-3.4-130-RWT

  This repository contains the model data of the land-based reference wind turbine developed within IEA Wind Task 37

  Language:F*1710

• davidricarteSP/Vortex_Shedding_Turbulence

  OpenFOAM simulation for flow around cylinder - wake von-Kàrman

  Language:C++1

• davidricarteSP/Vestas_4.2MW_rodando

  1

• davidricarteSP/Vestas_150_4_3MW

  Language:F*11

• davidricarteSP/Vestas_150_4_2MW_rotor

  simulação sem aeroelasticidade

  Language:F*1

• davidricarteSP/Vestas_112__3MW

  Arquivos adaptados da turbina de 3.4MW - IEA-3.4-130-RWT

  Language:F*1

• pablo-benito/SOWFA-installation

  SOWFA - OpenFAST installation notes

  2912

• NREL/SOWFA

  Language:Roff143114

• NREL/SOWFA-6

  3536

• NREL/floris

  A controls-oriented engineering wake model.

  Language:Python223157

• OrstedRD/TurbOPark

  A Turbulence Optimized Park model

  Language:MATLAB242

• IEAWindTask37/IEA-22-280-RWT

  Repository for the IEA 22-MW offshore reference wind turbine developed by the IEA Wind Task 55 REFWIND

  Language:Roff5725