Master Thesis (ETHZ-NUS): Portfolio Optimization using Deep Deterministic Policy Gradientand LSTM in Reinforcement Learning

Our goal is to push the general performance of music genre recognition forward and introduce a new method for pre-processing which allows for faster experimentation and model tuning in the future. …

Is it possible to improve relative pose estimation using priors (gt and estimated) on gravity direction. Research project for the 3D Vision course at ETH

Task 3 of the PAI course at ETHZ. In this task, you should use Bayesian optimization to tune one hyperparameter of a machine learning model subject to a constraint on a property of the model.

Task 3 of the AML course at ETHZ. We turn now to the classification of entire time series representing heart rythm into one of 4 classes.

Report on the dispute between Leibniz and Newton on calculus (History of Mathematics)

Towards Intra-Tumor Heterogeneity Deconvolution from Bulk RNA-seq data @BoevaLab

Paper where we discuss the following topic from the history of mathematics and its applications: the normal distribution

The use of microblogging and text messaging as a media of communication has greatly increased over the past 10 years. Such large volumes of data amplifies the need for automatic methods to understa…

In this project we will implement a reinforcement learning (RL) algorithm for playing a variant of a game called “lunar lander”.

In this task we will perform sequence classification. We will categorize temporally coherent and uniformly distributed short sections of a long time-series.

Task 2 of the PAI course at ETHZ. Implement a Bayesian neural network for a multi-class classification task.

Task 2 of the course AML at ETHZ. This task is primarily concerned with multi-class classification where you have 3 classes.

Predict person's age from brain image data. Task1 of the Advanced Machine Learning course at ETHZ.

Task1 of the PAI course at ETHZ. Use Gaussian Process regression (or a similar method) in order to model groundwater pollution, and try to predict the concentration of pollutants at previously unme…

How can we model trafic jam in Huston and define optimal strategies in order to reduce them

Report of an assignment on deep learning

This is my Assignments for the course of Functional Programming in Scala at EPFL (2nd years of BCs in Computer Science)

Assignment for the course Stochastics and simulation for finance at TU/e

Assignments for the course 'Operating System' at TUe

Assignment Roborace, Computer Graphic, Eindhoven University of Technology

Find a pattern in a image using Distance/Similarity searching. For the project we use the `game` "Where is Waldo"

A bike game coded in java using the "jbox2D" API

Design the entire architecture of a GameBoy in JAVA

Simulation of an Intel Kaby lake cache coded in C

Basic snake game in assembly language (niosII) develop for GeckoEducationEPFL

Content around smart contract security in solidity