ajinkya933

mlflow

Open source platform for the machine learning lifecycle

nvidia-docker

Build and run Docker containers leveraging NVIDIA GPUs

Pytorch-UNet

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

ssd.pytorch

A PyTorch Implementation of Single Shot MultiBox Detector

Advanced-Deep-Learning-with-Keras

Advanced Deep Learning with Keras, published by Packt

retinanet-examples

Fast and accurate object detection with end-to-end GPU optimization

keras-maskrcnn

Keras implementation of MaskRCNN object detection.

SAR-Ship-Dataset

DFF

Code for Dynamic Feature Fusion for Semantic Edge Detection https://arxiv.org/abs/1902.09104

cresi

Road network extraction from satellite imagery, with speed and travel time estimates

UNet-Segmentation-in-Keras-TensorFlow

UNet is a fully convolutional network(FCN) that does image segmentation. Its goal is to predict each pixel's class. It is built upon the FCN and modified in a way that it yields better segmentation in medical imaging.

skeyenet

Road and Building Segmentation in Satellite Imagery

streamlit-launchpad

Browse a folder containing multiple streamlit apps and launch them immediately

aerial_pedestrian_detection

Detectron2-Train-a-Instance-Segmentation-Model

Learn how to train a custom instance segmentation model with Detectron2

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.

MSTAR_tensorflow

Tensorflow Project to Classify MSTAR image chips

ndsar

NDSAR speckle filtering for multidimensional and single-channel SAR images

sar

Despeckling Synthetic Aperture Radar Images using a Deep Residual CNN

cogj-spec

Cloud Optimized GeoJSON spec

WaveletCNN_for_TextureClassification

Caffe implementation of a paper, "Wavelet Convolutional Neural Networks for Texture Classification" (arXiv, 2017)

sentinel_lakeice

[ISPRS Congress 2020] Lake Ice Detection from Sentinel-1 SAR with Deep Learning (Deeplabv3+, Tensorflow). The data was collected from Google Earth Engine platform.

Rooftop-Instance-Segmentation

VGG-16 Model to Segment Rooftops from Aerial Imagery

tensorflow_model_deployment

Exporting the Mask RCNN with TF-Serving (REST, GRPC, Notebooks provided)

Mask-RCNN-for-Off-Nadir-Building-Detection

Mask RCNN trained to detect buildings from the SpaceNet Off Nadir dataset

airbus-ship-detection-using-keras-retinanet-maskrcnn

Detection and segmentation of ship instances in satelite images using Keras Retinanet and Keras MaskRcnn.

retinanet-player-ball-detection

Player and Ball Detection with RetinaNet

SAR-Despeckling

Project to compare different despeckling techniques

mrcnn_serving_ready

🛠 Converting Mask R-CNN Keras model to Tensorflow model and Serving model

pytorch-flask-docker-object-detection-API

REST-API for pytorch object-detection using Docker