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followers: 0.0 following: 9.0 repos: 76.0 gists: 0.0

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

amazon-sagemaker-examples icon amazon-sagemaker-examples

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

bddcml icon bddcml

Massively parallel solver of systems of linear equations using Multilevel Balancing Domain Decomposition based on Constraints (BDDC).

composite_cdm_tan icon composite_cdm_tan

3D continuum damage mechanics model for composite materials implemented in Fortran (Abaqus Explicit VUMAT).

d2l-en icon d2l-en

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 400 universities from 60 countries including Stanford, MIT, Harvard, and Cambridge.

d2l-java icon d2l-java

The Java implementation of Dive into Deep Learning (D2L.ai)

djl icon djl

An Engine-Agnostic Deep Learning Framework in Java

dl4j-different-behavior icon dl4j-different-behavior

This repository contains a simple example project that should be used to track down the differences in behavior between CPU and CUDA backend.

dt8122-2022 icon dt8122-2022

Project assignment for the Probabilistic AI course (DT8122) at NTNU.

gan icon gan

I have prepared a Deep Convolutional Generative Adversarial Networks here.

gpubootcamp icon gpubootcamp

This repository consists for gpu bootcamp material for HPC and AI

growth icon growth

Subroutines and input files for modeling growth in Abaqus

jsat icon jsat

Java Statistical Analysis Tool, a Java library for Machine Learning

kuru icon kuru

Growth and Remodeling code developed during my PhD

languagetranslator_englishfrench icon languagetranslator_englishfrench

I have prepared a Model which can translate English Language to French Language with above 80% accuracy. I have used Tensorflow and Keras for this Project.

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