This is the repository with the baseline code for the "Small Object Detection Challenge for Spotting Birds" at MVA2023.
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Updated
Oct 3, 2023 - Python
This is the repository with the baseline code for the "Small Object Detection Challenge for Spotting Birds" at MVA2023.
This project explores deep reinforcement learning, hybrid actor-critic approach with A3C/PPO combined with curiosity for playing Super Mario Bros
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.
Labs and homeworks done during the Master Mathematics, Vision, Learning (MVA) at ENS Paris-Saclay.
This repository contains all the code samples of "Developing Intelligent Bots from Zero to Hero" channel9/MVA course.
Convert the MVA charts from faa.gov into KML files and content packs for Foreflight
Probabilistic graphical models home works (MVA - ENS Cachan)
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
MVA - Kaggle Challenge - Bird Image Recognition
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
Secure and anonymous messaging application. Fully decentralized peer-peer and fully anonymous.
Unsepervised learning - MVA course 2017/2018
My report for the PGM class given at the ENS
Work done for the Fall 2018 class of Deep Learning at MVA Master's degree
Multivariate analysis and statistical modeling (with dimensional reduction) of NYC urban life pathologies
Work done for the Fall 2018 class of Convex Optimization at MVA Master's degree
My reports for the DeepLearning class from the ENS
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