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1. Labs from Monte Carlo simulation, dealing with Importance sampling, SISR and MCMC methods.

   MATLAB 1

2. Language models with python

   Jupyter Notebook

3. Labs I did in the course "Introduction to Artificial Neural Networks". The labs mostly include finding good parameters for machine learning for tasks such as classification and regression.

   Jupyter Notebook

4. Labs from the course Financial risk management. Deals with different aspects of risk management, such as estimation of VaR, ES and credit risk.

   Jupyter Notebook

5. Assignments from the course "Machine Learning". Topics include regression and SVMs, Deep Neural Networks, CNNs and Reinforcement Learning. Note that a lot of code has been omitted since it's writte…

   MATLAB

6. Assignments from the course "Network Dynamics". Topics include measurement of centralities, min-max flow problems, simulation of epidemics and graph-coloring problems.

   MATLAB