brakuta

brakuta's Stars

• jeffheaton/t81_558_deep_learning

  T81-558: Keras - Applications of Deep Neural Networks @Washington University in St. Louis

  Language:Jupyter Notebook5.7k3231253k

• Esri/arcgis-python-api

  Documentation and samples for ArcGIS API for Python

  Language:Python1.9k1507681.1k

• NifTK/NiftyNet

  [unmaintained] An open-source convolutional neural networks platform for research in medical image analysis and image-guided therapy

  Language:Python1.4k90324404

• Esri/deep-learning-frameworks

  Installation support for Deep Learning Frameworks for the ArcGIS System

  4483263110

• karolzak/keras-unet

  Helper package with multiple U-Net implementations in Keras as well as useful utility tools helpful when working with image semantic segmentation tasks. This library and underlying tools come from multiple projects I performed working on semantic segmentation tasks

  Language:Python3391338108

• ashishpatel26/satellite-Image-Semantic-Segmentation-Unet-Tensorflow-keras

  Collection of different Unet Variant suchas VggUnet, ResUnet, DenseUnet, Unet. AttUnet, MobileNetUnet, NestedUNet, R2AttUNet, R2UNet, SEUnet, scSEUnet, Unet_Xception_ResNetBlock

  Language:Jupyter Notebook912225

• DeepTrial/Optic-Disc-Unet

  Attention Unet model with post process for retina optic disc segmention

  Language:Python792825

• RuoyuChen10/objectdetection-saliency-maps

  Based on the mmdetection framework, compute various salience maps for object detection.

  Language:Jupyter Notebook691106

• jeradhoy/DeepSatelliteData

  List of labelled remote sensing datasets for use in deep learning.

  587017

• PratyushTripathy/Landsat-Classification-Using-Convolution-Neural-Network

  Source code and files mentioned in the medium post titled "Is CNN equally shiny on mid-resolution satellite data?" available at https://towardsdatascience.com/is-cnn-equally-shiny-on-mid-resolution-satellite-data-9e24e68f0c08

  Language:Python473630

• nizhenliang/RAUNet

  RAUNet: Residual Attention U-Net for Semantic Segmentation of Cataract Surgical Instruments (ICONIP19)

  Language:Python46138

• amilyxy/Hyperspctral_classification

  Hyperspectral remote sensing image classification based on deep learning

  Language:Python19208

• lim-anggun/Keras-ImageDataGenerator

  A customized real-time ImageDataGenerator for Keras

  Language:Python162510

• georgiosouzounis/Mask-RCNN-hacked

  This is a simplified and slightly altered version of the Mask-RCNN-TF2 by Ahmed Gad

  Language:Python4200

• brakuta/DeepForest

  Python Package for Tree Crown Detection in Airborne RGB imagery

  Language:Python1100

• brakuta/keras-deeplab-v3-plus

  Keras implementation of Deeplab v3+ with pretrained weights

  Language:Jupyter Notebook1100

• brakuta/NeonTreeEvaluation

  Benchmark dataset for tree detection for airborne RGB, Hyperspectral and LIDAR imagery

  Language:Python1100

• brakuta/otbtf

  Deep learning with otb (mirror of https://gitlab.irstea.fr/remi.cresson/otbtf)

  Language:C++1100

• brakuta/QGIS-Plugin-Produce-Training-Samples-For-Deep-Learning

  Language:Python1100

• brakuta/unet

  unet for image segmentation

  Language:Jupyter Notebook1100

• jjpd777/h5_utils

  Language:Python1000