luciananieto Goto Github PK
Name: Luciana Nieto
Type: User
Company: Bison Data Labs
Bio: Data solutions - Predictive Ag - Remote Sensing - Agronomy
Location: USA
Name: Luciana Nieto
Type: User
Company: Bison Data Labs
Bio: Data solutions - Predictive Ag - Remote Sensing - Agronomy
Location: USA
Source Code for 'Advanced Applied Deep Learning' by Umberto Michelucci
Detect field boundaries using satellite imagery.
Agricultural datasets
Datasets for agriculture and applied biology
Pytorch re-implementation of boundary loss, proposed in "Boundary Loss for Remote Sensing Imagery Semantic Segmentation"
Global shoreline mapping tool from satellite imagery
Balance your colors!
This repository contains everything you need to become proficient in Data Science
Data Science Using Python
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.
Datapane is the easiest way to create data science reports from Python.
label wheat spikes
DexiNed: Dense EXtreme Inception Network for Edge Detection
Python and JavaScript bindings for calling the Earth Engine API.
EuroSAT: Land Use and Land Cover Classification with Sentinel-2
The following is a Matlab script that uses image processing to determine the number of farm plots in an image and print their area in pixels
Field delineation with Sentinel-2 data from Sentinel-Hub and a ResUnet-a architecture.
Unsupervised Wildfire Change Detection based on Contrastive Learning
🌱 Deep Learning for Instance Segmentation of Agricultural Fields - Master thesis
Data annotations in python using jupyter notebooks
Semi-automatic tool for manual segmentation of multi-spectral and geo-spatial imagery.
Labelling platform for Mapping Africa active learning project
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.
Tool to compare the outputs of the LandTrendr and CCDC algorithms for a single Landsat pixel
Bonus materials, exercises, and example projects for our Python tutorials
Prediction Performance Metrics
Tutorials to access Radiant MLHub Training Datasets
Models and examples built with TensorFlow
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.