2022_ml_earth_env_sci

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

2023

Materials for Applied Data Analysis CS-401, Fall 2023

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.

2023_mooc_ecmwf

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

bayesian-image-super-resolution

A Bayesian framework for Multi-Frame Image Super-Resolution. Based on "Bayesian Image Super-Resolution" (ME Tipping and CM Bishop, NeurIPS 2003)

climada_python

Python (3.8+) version of CLIMADA

deep-learning-with-python-notebooks

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

deepforest

Python Package for Tree Crown Detection in Airborne RGB imagery

deepsum

DeepSUM: Deep neural network for Super-resolution of Unregistered Multitemporal images (ESA PROBA-V challenge)

disaster_response_messages

This dataset contains 25,000 messages drawn from events including an earthquake in Haiti in 2010, floods in Pakistan in 2010, super-storm Sandy in the U.S.A. in 2012, and news articles spanning a large number of years and 100s of different disasters. The data has been encoded with 38 different categories related to disaster response

eo-learn

Earth observation processing framework for machine learning in Python

esda_cee690-02

Environmental Spatial Data Analysis

iapr

igm

The Instructed Glacier Model (IGM)

introduction_to_machine_learning

Introduction to Machine Learning, for B.Sc. Students, Computer Engineering Department, Sharif University of Technology

machine-learning-course

This is a machine learning tutorial for software engineer.

ml-specialization-notes

My notes on Coursera's machine learning specialization (PDF + LaTeX code)

oasispiwind

Toy UK windstorm model

rams

Official TensorFlow code for paper "Multi-Image Super Resolution of Remotely Sensed Images Using Residual Attention Deep Neural Networks".

yasminghd