Stars
A plugin for QGIS 3.x that relies on web services for loading seismological data
Notebooks and documentation for AI-for-Earth-managed datasets on Azure
The repository provides a code that (1) performs a hotspot analysis on the assets (built-up and population) exposed to single hazards (coastal floods, earthquakes, river floods, landslides, subside…
Automated Document Intelligence Workflow
[NeurIPS 2021] LoveDA: A Remote Sensing Land-Cover Dataset for Domain Adaptive Semantic Segmentation
DroneDeploy Machine Learning Segmentation Benchmark
🛰️ List of satellite image training datasets with annotations for computer vision and deep learning
Datasets for deep learning with satellite & aerial imagery
M.Sc. thesis project. Deep learning applied on remote sensing to find the optimal data configuration and NN architecture to investigate wilderness.
CLIMADA is a free and open-source software framework for climate risk assessment and adaptation option appraisal.
Yuxuan Li, Danfeng Hong, Chenyu Li, Jing Yao, Jocelyn Chanussot. HD-Net: High-resolution decoupled network for building footprint extraction via deeply supervised body and boundary decomposition, I…
code for 《Mind the Gap: Mutil-Level Unsupervised Domain Adaptation for Cross-scene Hyperspectral Image Classification》
ICLR 2024: Energy-Based Concept Bottleneck Models: Unifying Prediction, Concept Intervention, and Probabilistic Interpretations
Remote sensing image scene classification, which aims to classify remote sensing image into different types based on image content, has been attracted more and more attentions for its comprehensive…
Deep Learning for Vertical Farm Leaf Health Classification
Artificial Neural Networks and Deep Learning competition 2021/2022 - Politecnico di Milano.
A PyTorch implementation of EfficientNet
Visualkeras is a Python package to help visualize Keras (either standalone or included in TensorFlow) neural network architectures. It allows easy styling to fit most needs. This module supports la…
Keras reimplementation of EfficientNet Lite.
A simple and light CNN-based regression model for soil parameters estimation from hyperspectral images.
Source code for the book "Quantum Computing for Programmers", Cambridge University Press
T81-558: Keras - Applications of Deep Neural Networks @Washington University in St. Louis
Land Use Classification using Convolutional Neural Network in Keras
Classifying custom image datasets by creating Convolutional Neural Networks and Residual Networks from scratch with PyTorch
A list of remote-friendly or full-remote companies that targets Italian talents.