Pretrained Transformers of "B-spline Curve Approximation With Transformer Neural Networks" article

DOI

Pretrained Transformers of B-spline Curve Approximation With Transformer Neural Networks article

This dataset contains model checkpoints along with configuration and log files of trained transformer neural networks. Those networks have been trained following the methodology described in the link article. The following github repository can be used to read, test and process the data found in this dataset : bspline-curve-approximation-transformer.

The Readme file can help you understand the nature of the data to help you in treating it yourself. A recent version of Pytorch is required to load some of the data (i.e. model checkpoints and parameters).

The training logs and inference results come as csv and txt files and can be read and processed by any software of your choice.

See Readme.md for a more detailed description of files and parameters. Feel free to contact the author regarding questions/problems with the data.

pytorch, 2.0.0

Identifier
DOI https://doi.org/10.57745/IQ91KC
Related Identifier IsCitedBy https://doi.org/10.1016/j.matcom.2024.04.010
Metadata Access https://entrepot.recherche.data.gouv.fr/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.57745/IQ91KC
Provenance
Creator Saillot, Mathis ORCID logo
Publisher Recherche Data Gouv
Contributor Saillot, Mathis; Université de Lorraine
Publication Year 2025
Rights etalab 2.0; info:eu-repo/semantics/openAccess; https://spdx.org/licenses/etalab-2.0.html
OpenAccess true
Contact Saillot, Mathis (LGIPM ; Université de Lorraine ; France)
Representation
Resource Type Dataset
Format text/plain; text/tab-separated-values; text/comma-separated-values; application/octet-stream; text/markdown
Size 362963543; 362940786; 362918508; 362953967; 48294; 47364; 48331; 48314; 24650927; 24654455; 24650213; 24650694; 1708; 11364; 19024358; 19023880; 19024546
Version 2.0
Discipline Computer Science; Mathematics; Natural Sciences