Essi Parent's repositories
ecologie-mathematique-R
🐨 Notes du cours GAE-7007 - Analyse et modélisation d'agroécosystèmes
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
2019_soil-bacterial-microbiome-potato
🦠🥔 Supplementary material of the paper Soil Bacterial Diversity Linked to Potato Crop
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
ecologie-mathematique-Py
🐍🌿 Écologie mathématique avec Python
Nicolas-et-al_Infected-lettuce-ionomics
Supplementary material of the paper The ionomics of lettuce infected by Xanthomonas campestris pv. vitians
seekwellpandas
Querying pandas data frames with SQL-like synthax
2019_nutrient-requirements-of-conventionally-and-organically-grown-cranberry
Supplementary material for Performance of Conventional and Organic Cranberry Agroecosystems as Impacted by Fertilization Regimes
2019_Potatocrop-nutritional-status
Practice of bookdown with the potato nutrient diagnosis project
2019_Site-specific-potato-npk-model
Modeling N, P and K requirements for potato in Eastern Canada
introduction-au-calcul-numerique-avec-python
Petit cours d'introduction au calcul numérique en Python
2021-Nutrient-diagnosis-of-cranberry-in-Quebec-and-Wisconsin
Supplementary material for the manuscript
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
arvo
Python library for procedural music composition
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
GCI733-A2023
Dépôt pour le cours de géotechnique environnementale d'automne 2023
gp_regression
A Primer on Gaussian Processes for Regression Analysis (PyData NYC 2019)
MidiTok
MIDI / symbolic music tokenizers for Deep Learning models 🎶
music8
Repo for Music 8, intro to music composition at UCSB
nanoMidiGPT
Train models on Midi data
neuralhydrology
Python library to train neural networks with a strong focus on hydrological applications.
workshop-2019-colloque-cef
Analyse de données compositionnelles, biostatistiques et autoapprentissage avec R
xhydro
Hydrological analysis library built with xarray.