LuisSalgueiro's repositories
awesome-satellite-imagery-datasets
🛰️ List of satellite image training datasets with annotations for computer vision and deep learning
multi-temporal-super-resolution
Multi-temporal Super-Resolution on Sentinel-2 Imagery using Deimos
awesome-semantic-segmentation
:metal: awesome-semantic-segmentation
Awesome-Super-Resolution-1
Collect super-resolution related papers, data, repositories
DAN
This is an official implementation of Unfolding the Alternating Optimization for Blind Super Resolution
DSen2
Super-Resolution of Sentinel-2 Images: Learning a Globally Applicable Deep Neural Network
DSRL
Implementation of CVPR 2020 Dual Super-Resolution Learning for Semantic Segmentation
energizer
An active learning library for Pytorch based on Pytorch-Lightning.
honey_test
Classification performance for the Honey Test dataset
IGNN
Code repo for "Cross-Scale Internal Graph Neural Network for Image Super-Resolution" (NeurIPS'20)
ISIC-Archive-Downloader
A script to download the ISIC Archive of lesion images
luissalgueiro.github.io
My portfolio website at https://luissalgueiro.github.io/
LWN-Attention
Light-weight attention semantic segmentation network for high-resolution remote sensing images
muonIdentificationVGG16finetune
This repository has all the notebooks develop muon identifier with CNNs
pydensecrf
Python wrapper to Philipp Krähenbühl's dense (fully connected) CRFs with gaussian edge potentials.
pytorch-Deep-Learning
Deep Learning (with PyTorch)
raster-vision
An open source framework for deep learning on satellite and aerial imagery.
Real-SR
Real-World Super-Resolution via Kernel Estimation and Noise Injection
RealSR
Real-World Super-Resolution via Kernel Estimation and Noise Injection
satellite-image-deep-learning
Resources for deep learning with satellite & aerial imagery
SegLoss
A collection of loss functions for medical image segmentation
sentinelhub-py
Download and process satellite imagery in Python using Sentinel Hub services.
signver
Signature Verification
t81_558_deep_learning
Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks
text_OCR
text_ocr
web-apis-with-python
Code repository for exercises in the eBook WebAPI Development with Python
workshop_notebooks
Notebooks for workshop