Stars
Kafka data generator and load testing tool - generate fake messages, simulate producers and consumers, test broker failures, and run chaos engineering scenarios
A curated list of software and architecture related design patterns.
The Patterns of Scalable, Reliable, and Performant Large-Scale Systems
List of "only yours" cloud services for everyday needs 🏴
Course Files for AWS Certified Solutions Architect - Professional - Adrian Cantrill
Standard and Advanced Demos for learn.cantrill.io courses
AWS Certified Solutions Architect – Professional (SAP-C02) Notes
A GPT-4 AI Tutor Prompt for customizable personalized learning experiences.
🌐 List & Map of 800+ companies for geospatial jobs (GIS, Earth Observation, UAV, Satellite, Digital Farming, ..)
A LaTeX template for academic monographs (e.g., dissertations and thesis). This template serves both beginners and proficient LaTeX users.
A curated list of awesome search engines useful during Penetration testing, Vulnerability assessments, Red/Blue Team operations, Bug Bounty and more
📍 Openpoiservice is a flask application which hosts a highly customizable points of interest database derived from OpenStreetMap data.
Plugin QGIS para auxiliar a exportação de dados cartográficos para uma base de dados CartTop / Recart
Regional Thoughts is a solution that allows to users, based on geotagged tweets to have an idea about the most discussed subject in any part of USA , tweets shared in a specific day or by a specifi…
Analyzed Google Satellite images to generate a report on individual house rooftop's solar power potential
Tensorflow implementation of "Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network" (Ledig et al. 2017)
An implement of SRGAN(Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network) for tensorflow version
This is the PyTorch implementation of VGG network trained on CIFAR10 dataset
Open Source Image and Video Restoration Toolbox for Super-resolution, Denoise, Deblurring, etc. Currently, it includes EDSR, RCAN, SRResNet, SRGAN, ESRGAN, EDVR, BasicVSR, SwinIR, ECBSR, etc. Also …
Tensorflow implementation of pixel-recursive-super-resolution(Google Brain paper: https://arxiv.org/abs/1702.00783)
🔎 Super-scale your images and run experiments with Residual Dense and Adversarial Networks.
Collect super-resolution related papers, data, repositories
Segmentation models with pretrained backbones. Keras and TensorFlow Keras.
Open solution to the Mapping Challenge 🌎
A review of change detection methods, including codes and open data sets for deep learning. From paper: change detection based on artificial intelligence: state-of-the-art and challenges.
Image augmentation for machine learning experiments.
Road Detection from satellite images using U-Net.
Road network extraction from satellite imagery, with speed and travel time estimates