YellowruiAccount

YellowruiAccount's Stars

• eriklindernoren/PyTorch-GAN

  PyTorch implementations of Generative Adversarial Networks.

  Language:Python16.5k2201564.1k

• jindongwang/transferlearning

  Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

  Language:Python13.5k3393393.8k

• xialeiliu/Awesome-Incremental-Learning

  Awesome Incremental Learning

  3.8k13349573

• znxlwm/pytorch-generative-model-collections

  Collection of generative models in Pytorch version.

  Language:Python2.6k6329547

• ozan-oktay/Attention-Gated-Networks

  Use of Attention Gates in a Convolutional Neural Network / Medical Image Classification and Segmentation

  Language:Python1.9k350423

• YyzHarry/imbalanced-semi-self

  [NeurIPS 2020] Semi-Supervision (Unlabeled Data) & Self-Supervision Improve Class-Imbalanced / Long-Tailed Learning

  Language:Python7361424116

• yingkaisha/keras-unet-collection

  The Tensorflow, Keras implementation of U-net, V-net, U-net++, UNET 3+, Attention U-net, R2U-net, ResUnet-a, U^2-Net, TransUNET, and Swin-UNET with optional ImageNet-trained backbones.

  Language:Python6651365185

• wcipriano/pretty-print-confusion-matrix

  Confusion Matrix in Python: plot a pretty confusion matrix (like Matlab) in python using seaborn and matplotlib

  Language:Python530613153

• gbstack/CVPR-2022-papers

  CVPR 2022 papers with code (论文及代码）

  4665160

• thuml/CDAN

  Code release for "Conditional Adversarial Domain Adaptation" (NIPS 2018)

  Language:Jupyter Notebook399103292

• ChiefGodMan/Focal-Loss-implement-on-Tensorflow

  The implementation of focal loss proposed on "Focal Loss for Dense Object Detection" by KM He and support for multi-label dataset.

  Language:Python31491681

• artemmavrin/focal-loss

  TensorFlow implementation of focal loss

  Language:Python18631642

• nv-tlabs/semanticGAN_code

  Official repo for SemanticGAN https://nv-tlabs.github.io/semanticGAN/

  Language:Python181134134

• denkywu/Simulation-of-SAR-Imaging-Algorithm

  合成孔径雷达成像 相关。Some work I did during my graduate studies (Matlab Code) : (1) Simulation of SAR Imaging Algorithm, including RD and CS.

  Language:MATLAB1436152

• CuthbertCai/pytorch_DAN

  An implementation of Deep Adaptation Network with pytorch

  Language:Python1075721

• PyLops/curvelops

  Python wrapper for CurveLab's 2D and 3D curvelet transforms

  Language:Jupyter Notebook6921218

• kangvcar/Python_OpenCV

  基于Python OpenCV的图像算法原理及代码示例｜平移变换、尺度变换、旋转变换、仿射变换 求反、动态范围压缩、阶梯量化、阈值分割 加法、平均法消除噪声、减法 直方图均衡化、直方图规定化 线性平滑滤波器、线性锐化滤波器、非线性平滑滤波器、非线性锐化滤波器 傅里叶变换和反变换 理想滤波器、巴特沃斯滤波器，指数滤波器 高频增强滤波器、高频提升滤波器 带通带阻滤波器、同态滤波器 均值滤波器、排序统计滤波器 DPCM编码、余弦变换编码、小波变换编码 Sobel算子、Roberts算子、拉普拉斯算子、Canny算子、Prewitt算子、高斯拉普拉斯算子...

  Language:Python66209

• gugarosa/opfython

  🌳 A Python-inspired implementation of the Optimum-Path Forest classifier.

  Language:Python345717

• FouriYe/Digital-image-processing

  There are some digital image processing algorithms, e.g. histogram equalization, FT/FFT, homomorphic filtering, etc. 一些自己实现的数字图像处理算法，如直方图均衡、 傅里叶变换/快速傅里叶变换、同态滤波等。

  Language:Python23018

• apennisi/att_squeeze_unet

  Attention Squeeze U-Net

  Language:Python8103

• aacevedot/gsindex

  Geometrical Separability Index

  Language:Python50

• ANIRUDHAN101/image-fusion-using-genetic-algorithm-and-curvelet-transform

  By taking images in same focus , filtering it using genitic algorithm and applying image fussion using curvelet transform to form a combined image

  Language:Python5100

• Yevet/Liver-Segmentation-based-on-Deep-Convolutional-Network

  基于ResNet的UNet++和DC-UNet

  Language:Python50

• frederikpriem/GSLtools

  Language:Python410

• LikeUSummer/Bayesian_Kalman_Filter_Suite

  非线性贝叶斯滤波，卡尔曼滤波

  Language:Python4200

• avansp/partial-convolution-keras

  Unofficial implementation of "Image Inpainting for Irregular Holes Using Partial Convolutions". Try at: www.fixmyphoto.ai

  Language:Jupyter Notebook310

• jasp382/glass

  The Geoscientific Library for Analysis of Spatial Systems (GLASS) is a free and open source library for geospatial data science. It consistes of a set of Python Methods to support the automatization of spatial data science activities based on Geographic Information Systems Software. These Python Methods could be included in any high-level spatial analysis application.

  Language:Jupyter Notebook2201

• bwbj/MOD29_ReprojectPS

  Re-project MODIS-L2 MOD29 Sea Ice Temperature

  Language:MATLAB1101

• Fbehr-data/Felix

  Language:Python1

• tmilliman/sirpy2

  Python routines for interacting with .sir files

  Language:Python10