zlyx525

zlyx525's Stars

• geekcomputers/Python

  My Python Examples

  Language:Python32.7k2.4k44412.4k

• matterport/Mask_RCNN

  Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

  Language:Python25k5792.8k11.7k

• virgili0/Virgilio

  Your new Mentor for Data Science E-Learning.

  Language:Jupyter Notebook14k787442.5k

• milesial/Pytorch-UNet

  PyTorch implementation of the U-Net for image semantic segmentation with high quality images

  Language:Python9.8k704542.6k

• facebookresearch/maskrcnn-benchmark

  Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.

  Language:Python9.3k1761.1k2.5k

• JunMa11/SegLossOdyssey

  A collection of loss functions for medical image segmentation

  Language:Python3.9k9747605

• chrieke/awesome-satellite-imagery-datasets

  🛰️ List of satellite image training datasets with annotations for computer vision and deep learning

  3.7k17517648

• divamgupta/image-segmentation-keras

  Implementation of Segnet, FCN, UNet , PSPNet and other models in Keras.

  Language:Python3k593471.2k

• Beckschen/TransUNet

  This repository includes the official project of TransUNet, presented in our paper: TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation.

  Language:Python2.7k10162530

• bigmb/Unet-Segmentation-Pytorch-Nest-of-Unets

  Implementation of different kinds of Unet Models for Image Segmentation - Unet , RCNN-Unet, Attention Unet, RCNN-Attention Unet, Nested Unet

  Language:Python2k1666357

• ShuLiu1993/PANet

  PANet for Instance Segmentation and Object Detection

  Language:Python1.3k2666281

• 4uiiurz1/pytorch-nested-unet

  PyTorch implementation of UNet++ (Nested U-Net).

  Language:Python895459208

• uber-research/UPSNet

  UPSNet: A Unified Panoptic Segmentation Network

  Language:Python64827147119

• luyanger1799/Amazing-Semantic-Segmentation

  Amazing Semantic Segmentation on Tensorflow && Keras (include FCN, UNet, SegNet, PSPNet, PAN, RefineNet, DeepLabV3, DeepLabV3+, DenseASPP, BiSegNet)

  Language:Python47480149

• CosmiQ/solaris

  CosmiQ Works Geospatial Machine Learning Analysis Toolkit

  Language:Python42030246114

• titu1994/keras-squeeze-excite-network

  Implementation of Squeeze and Excitation Networks in Keras

  Language:Python4011421119

• titu1994/keras-non-local-nets

  Keras implementation of Non-local Neural Networks

  Language:Python290151797

• xuuuuuuchen/Active-Contour-Loss

  Implementation of active contour loss function

  Language:Python20051534

• Epiphqny/Multiple-instance-learning

  Pytorch implementation of three Multiple Instance Learning or Multi-classification papers

  Language:Python1333823

• decouples/Unet

  A demo of Unet to detect edges!

  Language:Python1094574

• pietz/unet-keras

  U-Net model for Keras

  Language:Python978236

• simochen/model-tools

  Tools for computing model parameters and FLOPs.

  Language:Python862323

• syamkakarla98/Dimensionality-reduction-and-classification-on-Hyperspectral-Images-Using-Python

  In this repository, You can find the files which implement dimensionality reduction on the hyperspectral image(Indian Pines) with classification.

  Language:Jupyter Notebook843233

• kabbi159/awesome-image-tagging

  A paper list of awesome Image Tagging

  72429

• sourajitcs/Residual-Attention-Convolutional-Neural-Network

  It contains the Attention-56 and Attention-96 models built from scratch in keras. Residual Attention Networks are described in the paper "Residual Attention Network for Image Classification"(https://arxiv.org/pdf/1704.06904.pdf).

  Language:Jupyter Notebook380120

• ryanzhangfan/PA-Net

  an implementation of path aggregation network based on mattport mask-rcnn

  Language:Python345517

• decanbay/YOLOv3-Calculate-Anchor-Boxes

  This script performs K-means Clustering on the Berkeley Deep Drive dataset to find the appropriate anchor boxes for YOLOv3. Originally it has 9 anchor boxes and image size is 608x608. For any issues pleas let me know

  Language:Python323618

• zachmoshe/zachmoshe.com

  Language:Jupyter Notebook20204

• mj129/Surveillance-of-neonatal-jaundice

  Surveillance of neonatal jaundice using sternal skin images via deep learning

  Language:Python13344

• xiaohan2012/daily-reading

  My learning notes

  Language:Jupyter Notebook7203