-
Efficiently combining Machine Learning with OpenFOAM using SmartSim - Slides
Slides: 18th OpenFOAM Workshop - Efficiently combining Machine Learning with OpenFOAM using SmartSim -
Accelerating GW calculations through machine learned dielectric matrices
The GW approach produces highly accurate quasiparticle energies, but its application to large systems is computationally challenging, which can be largely attributed to the... -
Accelerating GW calculations through machine learned dielectric matrices
The GW approach produces highly accurate quasiparticle energies, but its application to large systems is computationally challenging, which can be largely attributed to the... -
Non-equilibrium nature of fracture determines the crack path
Local processes during fracture, such as the selection of crack paths and the formation of facets and kinks along the paths, are non-equilibrium and discrete in nature and... -
Python code: Classification of in situ high speed videos of the gravure print...
The files that are made available here are all the key components that are needed to recreate the automated classification of high speed videos of the gravure printing fluid... -
Towards physics-based deep learning in OpenFOAM: Combining OpenFOAM with the ...
Slides from the Training "Towards physics-based deep learning in OpenFOAM: Combining OpenFOAM with the PyTorch C++ API" given at the 17th OpenFOAM Workshop -
Towards physics-based deep learning in OpenFOAM: Combining OpenFOAM with the ...
Source Code and Data snapshot accompanying the Training " Towards physics-based deep learning in OpenFOAM: Combining OpenFOAM with the PyTorch C++ API" given at the 17th... -
Acoustic Data Building Toolset
This folder contains data and software tools (in python) that can be used in experiments with phoneme recognition in speech samples recorder in Polish. Acoustic data used here... -
Terminological dictionary of artificial intelligence
The terminological dictionary was compiled within the framework of the project Development of Slovene in the Digital Environment. It is an example collection of 413 terms from... -
DIGIRES COVID-19 ML Dataset v.1
DIGIRES COVID-19 ML dataset v.1 is a tab-separated (.tsv) file prepared for training machine learning algorithms. The training dataset was compiled from various internet public... -
Orthography-based dating and localisation of Middle Dutch charters
In this study we build models for the localisation and dating of Middle Dutch charters. First, we extract character trigrams and use these to train a machine learner (K Nearest... -
SnakeCLEF 2021
The dataset with 409,679 images belonging to 772 snake species from 188 countries and all continents (386,006 images with labels targeted for development and 23,673 images... -
WMT18 Quality Estimation Shared Task Test Data
Test data for the WMT18 QE task. Train data can be downloaded from http://hdl.handle.net/11372/LRT-2619. This shared task will build on its previous six editions to further... -
Corpus of contemporary blogs
In NLP Centre, dividing text into sentences is currently done with a tool which uses rule-based system. In order to make enough training data for machine learning, annotators... -
WMT17 Quality Estimation Shared Test Data
Test data for the WMT17 QE task. Train data can be downloaded from http://hdl.handle.net/11372/LRT-1974 This shared task will build on its previous five editions to further... -
WMT18 Quality Estimation Shared Task Training and Development Data
Training and development data for the WMT18 QE task. Test data will be published as a separate item. This shared task will build on its previous six editions to further examine... -
WMT17 Quality Estimation Shared Task Training and Development Data
Training and development data for the WMT17 QE task. Test data will be published as a separate item. This shared task will build on its previous five editions to further examine... -
WMT16 APE Shared Task Data - Reference sentences
Training, development and test data consist in German sentences belonging to the IT domain and already tokenized. These sentences are the references of the data released for the... -
WMT16 APE Shared Task Data
Training, development and text data (the same used for the Sentence-level Quality Estimation task) consist in English-German triplets (source, target and post-edit) belonging to... -
WMT16 Quality Estimation Shared Task Training and Development Data
Training and development data for the WMT16 QE task. Test data will be published as a separate item. This shared task will build on its previous four editions to further examine...