MLO sessions include the Industry Track, Theory meets Practice Workshop, and PyTorch Workshop. Machine learning course starting 2018/09/18: The Machine Learning ... Team · Research · Teaching · Student Projects

Students who are interested to do a project at the MLO lab are encouraged to have a look at our where we describe what you can expect from us.

This course is offered jointly by the TML and MLO groups. Previous year's website: ML 2023. See here for the ML4Science projects.

As part of the Machine Learning Course CS-433, students can bring their ML skills to practice by joining forces with any lab on the EPFL campus.

Exploration on-device self-supervised collaborative fine-tuning of large language models with limited local data availability, using Low-Rank Adaptation (LoRA).

Team · Matteo Pagliardini (jointly with Francois Fleuret) · Amirkeivan Mohtashami · Vinitra Swamy (jointly with Tanja Käser) · El Mahdi Chayti · ‪Atli Kosson‬

MLO: Getting started with the EPFL Clusters. This repository contains the basic steps to start running scripts and notebooks on the EPFL Clusters (both RCP ...

LiGHT is an interdisciplinary research group hosted jointly at Yale | School of Medicine and the EPFL | School of Computer Science (here at MLO).

Bachelor, Master, Doctorate, Continuing Education, International Teaching, Admission, Study Management, Educational Initiatives, Education & Science Outreach

We are the LLM team at EPFL (Swiss Federal Institute of Technology), led by Prof. Antoine Bosselut from NLP lab, Prof. Martin Jaggi from MLO lab and Prof. Mary ...