Pinned Repositories
advanced-applied-deep-learning
Source Code for 'Advanced Applied Deep Learning' by Umberto Michelucci
agoro-field-boundary-detector
Detect field boundaries using satellite imagery.
agridatasets
Agricultural datasets
agrodatasets
Datasets for agriculture and applied biology
boundary_loss_for_remote_sensing
Pytorch re-implementation of boundary loss, proposed in "Boundary Loss for Remote Sensing Imagery Semantic Segmentation"
CoastSat
Global shoreline mapping tool from satellite imagery
color_balance
Balance your colors!
Complete-Data-Science
This repository contains everything you need to become proficient in Data Science
Data-Analysis
Data Science Using Python
LucianaNieto's Repositories
LucianaNieto/agoro-field-boundary-detector
Detect field boundaries using satellite imagery.
LucianaNieto/agridatasets
Agricultural datasets
LucianaNieto/CoastSat
Global shoreline mapping tool from satellite imagery
LucianaNieto/Complete-Data-Science
This repository contains everything you need to become proficient in Data Science
LucianaNieto/datapane
Datapane is the easiest way to create data science reports from Python.
LucianaNieto/DexiNed
DexiNed: Dense EXtreme Inception Network for Edge Detection
LucianaNieto/Data-Science-Projects-yieldPrediction
Explore my diverse collection of projects showcasing machine learning, data analysis, and more. Organized by project, each directory contains code, datasets, documentation, and resources. Dive in, to discover insights and techniques in data science. Reach out for collaborations and feedback.
LucianaNieto/Discovery-asf_search
LucianaNieto/earthengine-api
Python and JavaScript bindings for calling the Earth Engine API.
LucianaNieto/field-delineation
Field delineation with Sentinel-2 data from Sentinel-Hub and a ResUnet-a architecture.
LucianaNieto/FireCLR-Wildfires
Unsupervised Wildfire Change Detection based on Contrastive Learning
LucianaNieto/ipyannotations
Data annotations in python using jupyter notebooks
LucianaNieto/iris
Semi-automatic tool for manual segmentation of multi-spectral and geo-spatial imagery.
LucianaNieto/Land-Cover-Classification-using-Sentinel-2-Dataset
Application of deep learning on Satellite Imagery of Sentinel-2 satellite that move around the earth from June, 2015. This image patches can be trained and classified using transfer learning techniques.
LucianaNieto/materials
Bonus materials, exercises, and example projects for our Python tutorials
LucianaNieto/metrica
Prediction Performance Metrics
LucianaNieto/models_tensorflow
Models and examples built with TensorFlow
LucianaNieto/OpenEarthEngineLibrary
LucianaNieto/Practical-Time-Series-Analysis
Practical Time-Series Analysis, published by Packt
LucianaNieto/pynotes
A hands-on guide to scientific programming and reproducible research with python for environmental scientists
LucianaNieto/raster-vision
An open source framework for deep learning on satellite and aerial imagery. Using PyTorch
LucianaNieto/remote-sensing-datasets
Remote sensing datasets for machine and deep learning, model deployment & software
LucianaNieto/satellite-image-deep-learning
Resources for deep learning with satellite & aerial imagery
LucianaNieto/Semantic-Segmentation-Architecture
A repository contains the code for various semantic segmentation in TensorFlow and PyTorch framework.
LucianaNieto/SiROC
LucianaNieto/stac-spec
SpatioTemporal Asset Catalog specification - making geospatial assets openly searchable and crawlable
LucianaNieto/streamlit-example
Example Streamlit app that you can fork to test out share.streamlit.io
LucianaNieto/streamlit-template
A streamlit app template based on streamlit-option-menu
LucianaNieto/tensorflow-eo-training
Deep learning with TensorFlow and earth observation data.
LucianaNieto/tuning_playbook
A playbook for systematically maximizing the performance of deep learning models.