auto-osm Goto Github PK

associative_deep_clustering

atlas

OSM in memory

atlas-generator

Distributed generation of Atlas shards

attention-gated-networks

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

automl

Google Brain AutoML

avecado

Avecado (pronounced "a*vec*ado") is a library for building Mapnik vector tiles, along with language bindings for Python and some utility programs.

awesome-remote-sensing-change-detection

List of datasets, codes, researchers, and contests related to remote sensing change detection

awesome-satellite-imagery-datasets

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

awesome-semantic-segmentation-pytorch

Semantic Segmentation on PyTorch (include FCN, PSPNet, Deeplabv3, Deeplabv3+, DANet, DenseASPP, BiSeNet, EncNet, DUNet, ICNet, ENet, OCNet, CCNet, PSANet, CGNet, ESPNet, LEDNet, DFANet)

bcdu-net

BCDU-Net : Medical Image Segmentation

building-detection-unet

Trying out Building Detection using UNet

building-diff

Use turf.js to find areas where there are Microsoft computer-detected buildings but no OSM buildings.

camvid_unet

implementation of u-net on camvid dataset using fastaiv1

cervical_smear_3phases_detect_sys

cervical_smear_mrf_seg

change-detection-in-satellite-imagery

It employes Principal Component Analysis (PCA) and K-means clustering techniques over difference image to detect changes in multi temporal images satellite imagery.

clustering

Library for performing spectral clustering in C++

cnn_classification_pytorch

cntk

Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit

computing-adviertisement

computing-adviertisement

crc4docker

Python scripts for the textbook "Image Analysis, Classification and Change Detection in Remote Sensing, Fourth Revised Edition"

crcpython

Image Analysis, Classification and Change Detection in Remote Sensing

cresi

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

darknet.cg

dcec

deep-learning-coursera

Deep Learning Specialization by Andrew Ng on Coursera.

deep-learning-papers-reading-roadmap

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

deepcluster

Deep Clustering for Unsupervised Learning of Visual Features

deepercluster

Implements the unsupervised pre-training of convolutional neural networks

deeplearning-models

A collection of various deep learning architectures, models, and tips