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wildtreetech / advanced-comp-2017

💻 Material for a course on applied machine-learning for scientists. Taught at EPFL in spring 2017
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Exercise from 3 April #1

Open betatim opened 7 years ago

betatim commented 7 years ago

Post questions and if you need credit a link to your notebook in your repository on GitHub in this thread.

thean0 commented 7 years ago

Alexandra Nagy: https://github.com/thean0/advanced-comp-2017.git

riccardoravasio commented 7 years ago

Riccardo Ravasio: https://github.com/drahcir7/advanced-comp-2017/blob/master/Exercise%2B1%2B.ipynb

lutesta commented 7 years ago

Luc Testa https://github.com/lutesta/advanced-comp-2017

marinang commented 7 years ago

Matthieu Marinangeli https://github.com/marinang/advanced-comp-2017

erucalea commented 7 years ago

Esteban Rucavado https://github.com/erucalea/advanced-comp-2017

ryancier commented 7 years ago

Vladimir Macko https://github.com/ryancier/advanced-comp-2017

vbellee commented 7 years ago

Violaine Bellée https://github.com/vbellee/advanced-comp-2017

olgatihhonova commented 7 years ago

Olga Tihhonova https://github.com/olgatihhonova/advanced-comp-2017.git

VINX89 commented 7 years ago

Vincenzo Battista https://github.com/VINX89/advanced-comp-2017

Irocks commented 7 years ago

https://github.com/Irocks/Advanced_Computing

julienblatt commented 7 years ago

https://github.com/julienblatt/advanced-comp-2017

andre-martini commented 7 years ago

Andrea Martini

https://github.com/andre-martini/advanced-comp-2017/blob/master/01-introduction/exercise.ipynb

sharkovsky commented 7 years ago

Francesco Cremonesi ehm... I realized now that I sent you a personal email, instead of posting the link here. Sorry. Here's the link to my github repository https://github.com/sharkovsky/advanced-comp-2017/tree/exercise-one/01-introduction