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Abstract data structures for the construction of neural networks.
Theozeud / EulerLagrange.jl
Forked from JuliaGNI/EulerLagrange.jlCode generation for Euler-Lagrange equations.
Analytic neural networks based on Symbolics.jl
Structure Preserving Machine Learning Models in Julia
Somes Projects/Homeworks done during my second year of Master
Theozeud / OrdinaryDiffEq.jl
Forked from SciML/OrdinaryDiffEq.jlHigh performance ordinary differential equation (ODE) and differential-algebraic equation (DAE) solvers, including neural ordinary differential equations (neural ODEs) and scientific machine learni…
TP LBM pour le cours "Introduction à la méthode Boltzmann sur réseaux"
Abstract data structures for the construction of neural networks.
Code generation for Euler-Lagrange equations.
Structure Preserving Machine Learning Models in Julia
Analytic neural networks based on Symbolics.jl
Python library for CMA Evolution Strategy.
Final Project of the Udacity AI Programming with Python Nanodegree
Projects from the Deep Learning Specialization from deeplearning.ai provided by Coursera
My solution for the Automathon Superposed MNIST competition.
Projects from the Robotics specialization from Coursera offered by the University of Pennsylvania
Recueil des projets de permanence proposés par les Automatants.
Travail d'Initiative Personelle Encadrée (Prépa) Centrée sur le problème du voyageur
We use Resnet101 neural network to recognize 71 species of bees.
Time series Forecasting on the NTU_RGB+D skeleton dataset using AutoFormer and FEDFormer