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advancedalgorithms2019

Advanced Algorithms Course (CS-450 @EPFL) Spring 2019 - Homework

ai-cheatsheets

Essential Cheat Sheets for deep learning and machine learning researchers

amld2019

Workshops, notes and whatsoever taken during AMLD 2019 (http://appliedmldays.org)

applieddataanalysis2017

Applied Data Analysis Course (CS-401 @EPFL) Fall 2017

artificialneuralnets2018

Artificial Neural Networks (CS-456 @EPFL) Spring 2018 - Projects

bobstchallenge

Making use of computer visualization tools such as OpenCV, our team managed to detect defect in a manafacturing envirronment.

datasets

A collection of datasets of ML problem solving

datavisualisationspython

A compilation matplotlib plots useful in data analysis and visualization. This list lets you choose what visualisation to show for what situation using python’s matplotlib and seaborn library.

deep-learning-notebooks

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

deep-learning-papers-reading-roadmap

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

deeplearning2019

Deep Learning (EE-559 @EPFL) Spring 2019 - Projects

facadeparsing

Master Semester Project at Swiss Data Science Center @EPFL

functionalprogramming2015

Functionnal Programming (CS-210 @epfl) Fall 2015

googlehashcode2018

graphlang

GraphLang is the tool you need to boost your texts using graphs.

h5torch

hogwild

Implementation of a distributed version of "Hogwild! : A Lock-Free Approach to Parallelizing Stochastic Gradient Descent"

honesteats

Honest Eats - a chrome extension enhancing your everyday life

intelligentagents2018

Intelligent Agents (CS-430 @EPFL) Fall 2018 - Homeworks

invertransforms

A library which turns torchvision transformations invertible and replayable.

ionic-docker

isp2019

Information Security and Privacy (COM-402 @EPFL) Spring 2019 - Homeworks

jassai

[WIP] Develop an AI agent able to play Jass

jupyterlab-docker

Docker with most Machine Learning & Data Science related libraries in Python with Jupyterlab ready to use!

kang

We built a machine learning model based on the dataset provided by CreditSuisse to detect the accounts having suspicious behaviour.

lakehouse

https://aka.ms/lakehouselab

machinelearning2017

Machine Learning Course (CS-433 @EPFL) Fall 2017 - Projects

ntds2017

A Network Tour of Data Science (EE-558 @EPFL) Fall 2017 - Homeworks

parallelprogramming2016

Parallelism and Concurrency (CS-206 @epfl) Spring 2016

peerster

Peerster - A peer-to-peer application in the ​Go programming language