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advanced_algorithms

Homeworks 1 and 2 for the Advanced Algorithms course at EPFL.

antarctica-rcm-emulator

deep learning SMB-RCM emulator over Antarctica

deep-downscaling-overview

A collection aiming to bring all the amazing work of Deep Learning for Climate Super-res together.

deep-learning-mini-projects

Mini projects for summer 2021 deep learning course of EPFL

deep_learning_image_super_resolution

Project on super-resolution of medical images with the LTS4 and the CHUV at the Swiss Institute of Technology Lausanne.

epfl-ada-2019-data-analysis

Project for the Autumn 2019 Applied Data Analysis course given by Robert West at the EPFL.

ml_project_1

Project 1 of the Machine Learning course given at the EPFL Fall 2020.

non-linear-feature-extraction-of-the-stratoshpere

Dynamical systems such as the climate are highly nonlinear, and despite the fact that the observations are high-dimensional, most of the dynamics is captured by a small number of physically meaningful patterns. In this project we will apply unsupervised dimension reduction techniques for feature extraction, and more specifically, the Nonlinear Laplacian Spectral Analysis (NLSA) [1] approach to extract features from potential vorticity at the level of the stratosphere. NLSA uses the information on the past trajectory of the data and thus allows us to extract representative temporal and spatial patterns. We will compare the results with linear techniques such as Principal Component Analysis.

optimal-decision-making

optimisation_for_ml

Optimisation for Machine Learning project, Summer 2020 for EPFL-Optimisation in Machine Learning course

road_segmentation

Project 2 of the Fall 2020 Machine Learning course

robust_sbbplanner

Robust SBB/CFF planner for EPFL- Data Science Lab Spring 2020 course

website_ada_project

Website for the project of Applied Data Analysis 2019.