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
About me
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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