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
Bayesian optimization of Sandia's FlameD OpenFOAM case
Modified Shepard Algorithm for Interpolation of Scattered Multivariate Data
Python module for uncertainty quantification using a parallel sequential Monte Carlo sampler
Statistical Machine Intelligence & Learning Engine
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.
Plain Stock Close-Price Prediction via Graves LSTM RNNs
Lstm based stock price prediction
Material for QuantUniversity talk on Sythetic Data Generation for Finance.
TemporAI: ML-centric Toolkit for Medical Time Series
Integrating the TensorFlow 1.15 C-API into OpenFOAM 5.0 for data-driven CFD algorithm development
👨🎨A tiny web service to help you upgrade your TensorFlow code
Public repository for vol 2 of The Art of HPC: parallel programming
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.
Simple code for trying out TensorFlow with simulated datasets
Tensor Toolbox for Modern Fortran
A general framework to develop material models (UMAT) in ABAQUS (Dassault Systèmes)
Files associated with manuscript: Anisotropic damage model for collagenous tissues and its application to model fracture and needle insertion mechanics
Uncertainty Quantification in CFD simulations