Efthymios Chrysanthopoulos (efthymios19)

efthymios19

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Efthymios Chrysanthopoulos's repositories

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Arduino-TTL-Pulse-Generator-and-Controller

Design and Control your experiments with a TTL Generator and Controller

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SoilmoistureML

This repository contains the Jupyter Notebooks with the scripts used in the publication "Temporal and geographic extrapolation of soil moisture using machine learning algorithms."

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2020_RF_soilmoisture

RScripts predicting soil moisture using RF; comparing with 1D Hydrus model with data assimilation

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Machine-Learning-for-Time-Series-with-Python

Machine Learning for Time-Series with Python.Published by Packt

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MachineLearningCourse

My graduate level machine learning course, including student machine learning projects.

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NanoVNA-D

Firmware for NanoVNA, NanoVNA-H, NanoVNA-H4. Support SD Card, external Serial connection, fast measure, fast exchange vs CPU

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PyETo

Python package for calculating reference/potential evapotranspiration (ETo).

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github-slideshow

A robot powered training repository :robot:

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efthymios19

Config files for my GitHub profile.

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phydrus

:sweat_drops: Python implementation of the HYDRUS-1D unsaturated zone model

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NanoVNA_Software

Software interface for the Original NanoVNA, the V2+ and V2+4

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ST_DeepLearning

Code for the paper "A Novel Framework for Spatio-Temporal Prediction of Environmental Data Using Deep Learning"

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one_cycle_lr-tensorflow

OneCycle LearningRateScheduler & Learning Rate Finder for TensorFlow 2.

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PINNs_RRE

Physics-informed neural networks for the Richardson-Richards equation

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RichardsEquation

Richards' Equation model

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hants

This repository is a python implementation of the Harmonic ANalysis of Time Series (HANTS) applied to geographic data. The python module can be used to perform the HANTS analysis to a collection of time-variable raster data at each pixel.

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GSIF_tutorials

Global Soil Information Facilities (tutorials)

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harmonic_analysis_of_time_series

Harmonic analysis of time series in python

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