tbeucler

CBRAIN-CAM

Code for neural network parameterization project

2022_ML_Earth_Env_Sci

Google Collab Notebooks for the UNIL Spring 2022 course on ML for Earth and Environmental Sciences

2022_ML_EES

Course repository for "Machine Learning for Earth and Environmental Sciences" (UNIL, FGSE, Fall 2022)

2023_MOOC_ECMWF

Contribution to ECMWF's MOOC on "Machine Learning in Weather & Climate"

2023_ML_EES

Official repository for the Fall 2023 "Machine Learning for Earth & Environmental Sciences" at UNIL. Please push your completed exercises to your fork of this repository.

deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

2018_L_budget_convective_aggregation

2019_WMI

Developing the Water Meander Index (WMI) to study the organization of tropical convection

2022_Intro_Python

Course Repository for "Introduction to Scientific Programming with Python" (UNIL, FGSE, Fall 2022)

2023_MLEES_JB

Public repository for the Fall 2023 edition of UNIL's graduate "ML for Earth & Env Sci." course

2023_MLEES_Published_Book

Public repository for the published version of UNIL's Fall 2023 Programming and ML courses for Earth and Environmental Sciences

2024_Intro_Python

scientific-python-lectures

Lectures on scientific computing with python, as IPython notebooks.

2019_CBRAIN_GAN

A stochastic, neural-network parametrization of convection aiming at improving the representation of non-deterministic variables such as precipitation.

2019_Convective_SA_MSE_Transients

Reduced Data and Figures of GRL Draft

2019_NN_RCEMIP

Analysis of the RCEMIP using deep learning

2020_TC_CRF

Investigating the full effect of cloud radiation on TC genesis and intensification

2022_SIG_TP8

Tutoriels et Exercices Python pour le TP8 du cours Bachelor de SIG

2023_Intro_Python

2023_SD_REP

Data and code repository for the analysis of Pediatric Respiratory Emergencies in San Diego

2024_MLEES

# Machine Learning for Earth and Environmental Sciences (UNIL, Fall 2023) Official repository for the Fall 2023 "Machine Learning for Earth & Environmental Sciences" course at UNIL. If you are taking this course for credits, please fork this repository and push your completed exercises to this fork.

2024_TROPICANA_ML

ML tutorial for the 2024 TROPICANA workshop in Orsay, France

2024_UNIL_Geoinformatique

ai4oac2023

bsc-cursus

climate-informatics-2023

Jekyll template for a conference website containing program, speaker, talks and room overview

ClimSim

ClimSim (release)

cloudmetrics

Toolkit for computing 15+ metrics characterising 2D cloud patterns

ml4rt

vscode_demo