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
A repository of ABAQUS FORTRAN subroutines
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
Machine Learning and AI Series - University of Alberta Faculty of Extension
Code and data related to publication
Massively parallel solver of systems of linear equations using Multilevel Balancing Domain Decomposition based on Constraints (BDDC).
Class labs to share with other trainers only
continuum damage mechanics (CDM) material model
3D continuum damage mechanics model for composite materials implemented in Fortran (Abaqus Explicit VUMAT).
Conjugate gradient method
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 400 universities from 60 countries including Stanford, MIT, Harvard, and Cambridge.
The Java implementation of Dive into Deep Learning (D2L.ai)
ETL Library for Machine Learning
An Engine-Agnostic Deep Learning Framework in Java
Demo applications showcasing DJL
This repository contains a simple example project that should be used to track down the differences in behavior between CPU and CUDA backend.
Project assignment for the Probabilistic AI course (DT8122) at NTNU.
Expert AWS Development, published by Packt
I have prepared a Deep Convolutional Generative Adversarial Networks here.
This repository consists for gpu bootcamp material for HPC and AI
Subroutines and input files for modeling growth in Abaqus
Resources for Hackathon workshop that AMII participates in
Hands-On Serverless Deep Learning with TensorFlow and AWS Lambda, published by Packt
HVACTools for OpenFOAM
Jupyter notebooks for Intro to Biomechanics
Java-Deep-Learning-Essentials Code
Java Deep Learning Projects, published by Packt
Java Statistical Analysis Tool, a Java library for Machine Learning
Python companion to Low Speed Aerodynamics by Joseph Katz and Allen Plotkin
Growth and Remodeling code developed during my PhD