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Name: Karliampas Christos

Type: User

Company: National Technical University of Athens

Bio: PhD candidate at the NTUA, Greece. Working on Uncertainty Quantification using PCE and surrogate modeling with POD. Interested in ML/AI.

Location: Switzerland

Karliampas Christos's Projects

sheppack icon sheppack

Modified Shepard Algorithm for Interpolation of Scattered Multivariate Data

smcpy icon smcpy

Python module for uncertainty quantification using a parallel sequential Monte Carlo sampler

smile icon smile

Statistical Machine Intelligence & Learning Engine

statistics-and-machine-learning-training icon statistics-and-machine-learning-training

exploration of the concepts of statistical modelling, and at the same time relate and contrast them with machine learning approaches when it comes to both classification and regression.

temporai icon temporai

TemporAI: ML-centric Toolkit for Medical Time Series

tensorflowfoam icon tensorflowfoam

Integrating the TensorFlow 1.15 C-API into OpenFOAM 5.0 for data-driven CFD algorithm development

tf2up icon tf2up

👨‍🎨A tiny web service to help you upgrade your TensorFlow code

time-series_imaging_forecasting icon time-series_imaging_forecasting

In this project we have explored the use of imaging time series to enhance forecasting results with Neural Networks. The approach has revealed itself to be extremely promising as, both in combination with an LSTM architecture and without, it has out-performed the pure LSTM architecture by a solid margin within our test datasets.

try-tf icon try-tf

Simple code for trying out TensorFlow with simulated datasets

ttb icon ttb

Tensor Toolbox for Modern Fortran

umat-abaqus icon umat-abaqus

A general framework to develop material models (UMAT) in ABAQUS (Dassault Systèmes)

umat_anisotropic_damage icon umat_anisotropic_damage

Files associated with manuscript: Anisotropic damage model for collagenous tissues and its application to model fracture and needle insertion mechanics

uqfoam icon uqfoam

Uncertainty Quantification in CFD simulations

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