Essi Parent (essicolo)

essicolo

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Company:Laval University

Location:Québec, Canada

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Essi Parent's repositories

ecologie-mathematique-R

🐨 Notes du cours GAE-7007 - Analyse et modélisation d'agroécosystèmes

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site-specific-multilevel-modeling-of-potato-response-to-nitrogen-fertilization

🥔 Supplementary material for Parent, S.-É., Leblanc, M., Parent, A.-C., Coulibali, Z. and Parent, L.E. (2017). Site-specific multilevel modeling of potato response to nitrogen fertilization. DOI: 10.3389/fenvs.2017.00081

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2019_soil-bacterial-microbiome-potato

🦠🥔 Supplementary material of the paper Soil Bacterial Diversity Linked to Potato Crop

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2019_Parent-et-al_Mineral-P-fertilization-of-corn-with-or-without-animal-manure-application

Supplementary material for paper Corn response to banded phosphorus fertilizers with or without manure application in Eastern Canada

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AgFun

🌾 Functions for agricultural data analysis in R

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ecologie-mathematique-Py

🐍🌿 Écologie mathématique avec Python

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Nicolas-et-al_Infected-lettuce-ionomics

Supplementary material of the paper The ionomics of lettuce infected by Xanthomonas campestris pv. vitians

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nuee

:bird: Multivariate data analysis toolkit for numerical ecology with Python

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seekwellpandas

Querying pandas data frames with SQL-like synthax

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2019_nutrient-requirements-of-conventionally-and-organically-grown-cranberry

Supplementary material for Performance of Conventional and Organic Cranberry Agroecosystems as Impacted by Fertilization Regimes

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2019_Potatocrop-nutritional-status

Practice of bookdown with the potato nutrient diagnosis project

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2019_Site-specific-potato-npk-model

Modeling N, P and K requirements for potato in Eastern Canada

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introduction-au-calcul-numerique-avec-python

Petit cours d'introduction au calcul numérique en Python

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2021-Nutrient-diagnosis-of-cranberry-in-Quebec-and-Wisconsin

Supplementary material for the manuscript

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2021_cranberry-ionomics

Orange canvas for Nutrient diagnosis of cranberry (Vaccinium macrocarpon Ait.) in Quebec and Wisconsin: impact of cultivars, local factors and carryover effects on plant nutrient status and yield prediction

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arvo

Python library for procedural music composition

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Gagnon-et-al_ILRs-to-classify-phosphorus-attributes-in-composts

Supplementary material of the paper The use of isometric log ratios to classify phosphorus attributes in composts

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GCI733-A2023

Dépôt pour le cours de géotechnique environnementale d'automne 2023

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gp_regression

A Primer on Gaussian Processes for Regression Analysis (PyData NYC 2019)

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MidiTok

MIDI / symbolic music tokenizers for Deep Learning models 🎶

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music8

Repo for Music 8, intro to music composition at UCSB

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nanoMidiGPT

Train models on Midi data

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neuralhydrology

Python library to train neural networks with a strong focus on hydrological applications.

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STT-4230

STT-4230 / STT-6230 R pour scientifique - Notes de cours

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workshop-2019-colloque-cef

Analyse de données compositionnelles, biostatistiques et autoapprentissage avec R

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xhydro

Hydrological analysis library built with xarray.

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