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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
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.
Load Flow analysis in Scilab 6.0.0
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
Work done for the Fall 2018 class of Deep Learning at MVA Master's degree
Work done for the Fall 2018 class of Probabilistic Graphical Models at MVA Master's degree
MovilApp MVA, for the university project in the language course for business applications.
My reports for the DeepLearning class from the ENS
My report for the PGM class given at the ENS
Unsepervised learning - MVA course 2017/2018
Homework on training deep networks with very small data - MVA MSc
Review project on Information Directed Sampling - MVA MSc
Learn C# programming from an expert in the industry. Get the tools, see how to write code, debug features, explore customizations, and more. For newer videos head over to dot.net/videos
Multivariate analysis (MVA) of high dimensional heterogeneous data
Multivariate statistical learning applied to high dimensional data
Work done for the Fall 2018 class of Object Recognition and Computer Vision at MVA Master's degree
Programa para calculo de percentual de MVA com base nos valores da base de ICMS, valor de IPI e valor da base de ST
Removing Noises from the Signal or Data using LPF or MVA method
MVA - Probabilistic Graphical Models - Assignments
Tercer proyecto del curso Lenguajes para aplicaciones comerciales de la carrera de Informatica Empresarial de la UCR.
Assignments and Projects from the MVA Master at ENS Paris-Saclay
Scripts for markov chains and MVA exercises for Capacity Planning course at Sapienza
Machine Learning with Kernel Methods (MVA 2021) - DNA sequence classification from scratch using kernel methods and ML algorithm