Laique M. Djeutchouang's Projects
Abidjan Settlements Analysis Codebase with a focus on Python side of the code for analysis.
A Python package using a class to calculate a person's age based on their date of birth and return the day of the week they were born.
A ready-to-use curated list of Spectral Indices for Remote Sensing applications.
A module to load internally and preprocess the BIOPERIANT12 mesoscale-resolving ocean model outputs from SOCCO data server hosted by the CHPC lengau cluster.
Source code for ClimateLearn
Deep Learning techniques and adaptation to satellite & aerial imagery. Semantic segmentation, classification, land used and land cover, etc.
Training and deployment of deep learning models for satellite & aerial imagery
Source repo for Earth and Environmental Data Science book from Earth and Environmental Data Science
The main goal of this repo is to develop a Land Cover Classification model in a collaboration-ready manner. Basically, the model includes at least the five basic land cover types: Water, Natural Vegetation, Agricultural Fields, Bare Ground, Urban or Built-up land cover like roads and buildings.
Empirical mode decomposition tutorial
Initial public release of code, data, and model weights for FourCastNet
Well-documented Python demonstrations for spatial data analytics, geostatistical and machine learning to support my courses.
CV/Resume website
Tools that Luke Gregor has developed over time that form a part of his daily workflow built primarily around xarray.
A few quick scripts focused on testing TensorFlow/PyTorch/Llama 2 on macOS.
Examples in the MLX framework
ECMWF MOOC on Machine Learning in Weather & Climate.
Contains info on ocean remote sensing and reanalysis products
An easy to follow course of OpenCV using Python for beginners.
Practical Deep Learning on the Cloud, published by Packt
A sample tutorial walking you through how to package a simple Python project.
Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.
Calculation of air-sea fluxes - for now only CO2
A series of semi-idealized observing system simulation experiments (OSSEs) to test the sensitivity of surface ocean pCO2 reconstructions to spatial and temporal sampling scales
VIP cheatsheets for Stanford's CS 230 Deep Learning
Automated detection and tracking of atmospheric storms (cyclones) and high-pressure systems (anticyclones), given a series of mean sea level pressure maps.
The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.
A benchmark dataset for data-driven weather forecasting