This repository contains all the code samples of "Developing Intelligent Bots from Zero to Hero" channel9/MVA course.
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Updated
Jan 14, 2019 - C#
This repository contains all the code samples of "Developing Intelligent Bots from Zero to Hero" channel9/MVA course.
This project explores deep reinforcement learning, hybrid actor-critic approach with A3C/PPO combined with curiosity for playing Super Mario Bros
This is the repository with the baseline code for the "Small Object Detection Challenge for Spotting Birds" at MVA2023.
Notes from the “Advanced Tools & Scripting with PowerShell 3.0” jumpstart, originally published in Microsoft MVA. Now available in Channel 9: https://channel9.msdn.com/Series/advpowershell3
Crack Segmentation for Low-Resolution Images using Joint Learning with Super-Resolution (CSSR) was accepted to international conference on MVA2021 (oral), and selected for the Best Practical Paper Award.
My report for the PGM class given at the ENS
Review project on Information Directed Sampling - MVA MSc
Homework on deep reinforcement learning - MVA MSc
Labs and homeworks done during the Master Mathematics, Vision, Learning (MVA) at ENS Paris-Saclay.
Homework on image retrieval and clustering on Oxford buildings data set - MVA MSc
Implementation of Forward Initial Margin Calculation with ISDA SIMM for MVA. This Project is based on finmath-lib: https://github.com/finmath/finmath-lib and makes use of Adjoint Algorithmic Differentiation (AAD) provided here: https://github.com/finmath/finmath-lib-automaticdifferentiation-extensions
Data challenge with kernel methods - MVA MSc
Tercer proyecto del curso Lenguajes para aplicaciones comerciales de la carrera de Informatica Empresarial de la UCR.
My report for the convex-optimization class given at the ENS
Project for the MVA course: Apprentissage pour les séries temporelles
Project for the MVA course: Application de l'analyse de données, des statistiques descriptives et de l'apprentissage automatique dans l'industrie aéronautique
Multivariate analysis and statistical modeling (with dimensional reduction) of NYC urban life pathologies
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