Predict the 2017's french election
This project’s aim was to see how local socio-economic features could help predict the result of an election.
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Use the A* algorithm to play a strategy game
In a competition between students in the course ‘Foundation of AI’, we tried to make the best AI using the search algorithm A*.
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CycleGAN for MRI and CT scans
This project is about creating and training a CycleGAN with a dataset of CT scans and T2 MRI.
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Playing Mario Bros with DQN
Here, I train a DQN agent to finish the first level of Mario Bros using PyBoy
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Training Ants with RL
We created a multi-agent simulation of ants and trained them to search for food using RL.
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Artificial Intelligence Engineer
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Portfolio item number 1
Using INSEE databases, we tried to predict the winner of the 2016 election by using socio-economic data from cities in France 1
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Using Reinforcement Learning to Train Ants
AntsRL - Multi-Agent Reinforcement Learning
Do you even know how to Deepfake ?
Do you even know how to Deepfake ?
Learning to Extract Local Events from the Web
This paper, published by John Foley, Michael Bendersky and Vanja Josifovski, is about how to extract local events from the web, using techniques from the information retrieval theory.