kjtheron

kjtheron's Stars

• TencentARC/GFPGAN

  GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.

  Language:Python36.1k5084786k

• matterport/Mask_RCNN

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

  Language:Python24.8k5822.8k11.7k

• wkentaro/labelme

  Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).

  Language:Python13.8k1507523.4k

• qubvel/segmentation_models

  Segmentation models with pretrained backbones. Keras and TensorFlow Keras.

  Language:Python4.8k925281k

• tensorflow/probability

  Probabilistic reasoning and statistical analysis in TensorFlow

  Language:Jupyter Notebook4.3k1571.4k1.1k

• sanghyun-son/EDSR-PyTorch

  PyTorch version of the paper 'Enhanced Deep Residual Networks for Single Image Super-Resolution' (CVPRW 2017)

  Language:Python2.5k40345675

• awesome-spectral-indices/awesome-spectral-indices

  A ready-to-use curated list of Spectral Indices for Remote Sensing applications.

  Language:Python9052855147

• radiantearth/stac-spec

  SpatioTemporal Asset Catalog specification - making geospatial assets openly searchable and crawlable

  Language:JavaScript80774526179

• 5x12/themlsbook

  This repository is a supplement to the 'Machine Learning Simplified: A Gentle Introduction to Supervised Learning' book.

  Language:Jupyter Notebook426132102

• px39n/Awesome-Data-Fusion-for-Remote-Sensing

  1936033

• hengchuan/RDN-TensorFlow

  A TensorFlow implementation of CVPR 2018 paper "Residual Dense Network for Image Super-Resolution".

  Language:Python14583346

• lironui/MACU-Net

  The semantic segmentation of remote sensing images

  Language:Python921912

• Geoyi/pixel-decoder

  A tool for running deep learning algorithms for semantic segmentation with satellite imagery

  Language:Python796318

• canturan10/satellighte

  📡 PyTorch Lightning Implementations of Recent Satellite Image Classification !

  Language:Python73266

• kleok/INSAR4SM

  Interferometric Synthetic Aperture Radar for Soil Moisture

  Language:Python504713

• michaeltrs/DeepSatData

  Automatically create machine learning datasets from satellite images

  Language:Python42108

• TangXu-Group/Unsupervised-Remote-Sensing-Change-Detection

  Language:Python32259

• microsoft/landcover-orinoquia

  Land cover mapping of the Orinoquía region in Colombia, in collaboration with Wildlife Conservation Society Colombia. An #AIforEarth project

  Language:Jupyter Notebook30916

• 4-geeks/Mask-RCNN-pytorch

  A PyTorch version of mask-rcnn based on torchvision model with VOC dataset format.

  Language:Python25206

• justjoshtings/satellite_image_segmentation

  Experimented with a U-Net variant to perform pixel wise multi-class classification to segment high resolution satellite imagery into land use types with potential applications in deforestation and flood monitoring. Developed with TensorFlow framework.

  Language:Jupyter Notebook25235

• rajatkb/RDNSR-Residual-Dense-Network-for-Super-Resolution-Keras

  Residual Dense Network for Super Resolution implementation in Keras

  Language:Python16248

• smarthi/satellite-images

  Language:Jupyter Notebook149110

• zmf0507/Ship-detection-in-satellite-images

  The project aims to detect ships in million pixels satellite images using different object detection algorithms. This makes use of various libraries and wrappers for object detection frameworks such as UNET, YOLO, Mask R-CNN, SSD, Faster R-CNN, RETINA-NET etc which might help beginners get started with object detection and computer vision easily.

  Language:Jupyter Notebook13108

• saraivaufc/instance-segmentation-maskrcnn

  Instance segmentation of center pivot irrigation system in Brazil using Landsat images and Convolutional Neural Network

  Language:Jupyter Notebook11112

• tclavelle/aqua_python

  Jupyter notebooks and Python scripts for processing satellite imagery for use in training a CNN with TensorFlow

  Language:Jupyter Notebook6112

• VUDataScience/Deep-learning-based-object-recognition-in-multispectral-satellite-imagery-for-real-time-applicatio

  Language:Jupyter Notebook5104

• digitalearthafrica/crop-type

  A collection of notebooks describing a repeatable workflow for predicting crop types using the Digital Earth Africa platform

  Language:Jupyter Notebook2205

• eric-erki/satellite-image-deep-learning

  Resources for deep learning with satellite & aerial imagery

  Language:Jupyter Notebook130

• martaajarzyna/SmallMammals_LateQuaternary-EMC-SC

  Trends in functional composition of small mammal communities across millennial time scales

  Language:R1200

• saraivaufc/Mask_RCNN

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

  Language:Python1000