Logo Cineca Logo SCAI

You are here

Resources software - Deep Learning

Name Version Description Topic Availability Target user
Caffe intel-multinode-1.0.0

This fork of BVLC/Caffe is dedicated to improving performance of this deep learning framework when running on CPU, in particular Intel® Xeon processors (HSW+) and Intel  Xeon Phi processors. This module contains Intel/Caffe with MLSL support for multi-node training/inference.

Deep Learning MARCONI all
Cineca-ai 2.02 (G100)

The bulk of the package is based on OpenCE dedicated to AI which includes (for example) Tensorflow, Pytorch, XGBoost, and other related packages and dependencies.

Deep Learning GALILEO100 all
Cudnn 8.4.0.27 (LEONARDO)

NVIDIA cuDNN is a GPU-accelerated library of primitives for deep neural networks

Deep Learning LEONARDO all
FFmpeg 4.1.4 (MARCONI)

Collection of libraries and tools to process multimedia contents

Deep Learning, Production Environment MARCONI all
Ninja 1.11.1

Ninja is a small build system with a focus on speed.

Deep Learning LEONARDO all
Opencv 3.2.0

 OpenCV (Open Source Computer Vision Library) is an open source computer vision and machine learning software library.

Deep Learning, Visualisation MARCONI all
Protobuf 3.2.0 (MARCONI)

Protocol Buffers - Google's data interchange format

Deep Learning MARCONI all
Pytorch 1.1.0 (MARCONI)

PyTorch is an open source machine learning library

Deep Learning, Maths Libraries MARCONI all
SciPy 1.2.2 (MARCONI)

SciPy (pronounced “Sigh Pie”) is open-source software for mathematics, science, and engineering.

Deep Learning, Maths Libraries, Quantum Computing MARCONI all
TensorFlow 1.10.0 (MARCONI)

TensorFlow is an open-source library of software for dataflow and differential programing for various tasks.

Deep Learning MARCONI all