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This is the second part of the Deep Learning Course for the Master in High-Performance Computing (SISSA/ICTP).)

NLP-Workshop-MLMilan

Advanced NLP Workshop: word-sense disambiguation with RoBERTa and text summarization with BART (Machine Learning Milan)

Jupyter Notebook

2017-cuda-fortran-material

"CUDA FORTRAN for Material Scientists" workshop

Fortran

Introduction-to-Numerical-Analysis

Course P1.4 of Master HPC

Jupyter Notebook

CUDA-Fortran-School

Course P2.2 of Master HPC; CUDA, Fortran

Fortran

Deep-Learning-Lectures_NLP

Introductory Lectures on Deep Learning for Natural Language Processing

Jupyter Notebook

Parallel-Fast-Fourier-Transform

Course P2.8 of Master HPC; C

cifar10-CNN-TensorFlow-Estimators

Simple CNN model using TensorFlow Estimators. Data converted in tfrecords.

Jupyter Notebook

Deep-Learning-Lectures_CV

Introductory Lectures on Deep Learning for Computer Vision

Jupyter Notebook

Reduced-Basis-Method

Course P2.5 of Master HPC; Python

Python

Monte-Carlo-Methods

Course P2.7 of Master HPC; Python

Jupyter Notebook

MHPC-DeepLearning-Lectures-2019

Advanced Deep Learning Lectures for the Master in HPC (SISSA/ICTP, Trieste)

Jupyter Notebook

Basics-of-deep-learning-for-cv

DLI e-learning course on CNNs

Jupyter Notebook

Introduction-to-Computer-Architectures-for-HPC

Course P1.2 of Master HPC; C & Fortran

Mathematica

High-Performance-Computing-Technology

Course P1.8 of Master HPC;

Molecular-Dynamics

Course P2.10 of Master HPC; C

Jupyter Notebook

Molecular-Dynamics-Project

Final Project of course P1.9 of Master HPC;

denocris/MHPC-Natural-Language-Processing-Lectures

denocris

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