rmrschub

German research center for Artificial Intelligence @dfki-asrSaarbrücken, Germany

Pinned Repositories

aetna-containers
Language:Dockerfile0 1 00
ahefutil
Implementation of the "Algebra Homomorphic Encryption Scheme Based on Fermat's Little Theorem" (AHEF)
Language:C++2 3 00
Babai-Graph-Isomorphism
Source-code accompanying Bachelors Thesis about Babai's paper on Graph Isomorphism in Quasi-polynomial Time.
Language:C++0 2 00
Bossa-Nova-Exercises
Some Bossa Nova exercises
Language:TeX0 2 00
csv2ddl
A bash script for dealing with tabular data in several formats, guessing types and detecting headers.
Language:Shell0 2 00
CVAE_FederatedLearning
Language:Jupyter Notebook0 1 00
db2triples
Antidot implementations of R2RML and Direct Mapping specifications
Language:Java0 2 00
elpv
0 2 00
gtfs-ld
0 2 00
igraphstore
A simple GraphStore wrapper for Jena TDB and Jena Fuseki
Language:Java3 3 12

rmrschub's Repositories

rmrschub/igraphstore
A simple GraphStore wrapper for Jena TDB and Jena Fuseki
Language:Java3 3 12
rmrschub/ahefutil
Implementation of the "Algebra Homomorphic Encryption Scheme Based on Fermat's Little Theorem" (AHEF)
Language:C++2 3 00
rmrschub/aetna-containers
Language:Dockerfile0 1 00
rmrschub/Babai-Graph-Isomorphism
Source-code accompanying Bachelors Thesis about Babai's paper on Graph Isomorphism in Quasi-polynomial Time.
Language:C++0 2 00
rmrschub/Bossa-Nova-Exercises
Some Bossa Nova exercises
Language:TeX0 2 00
rmrschub/csv2ddl
A bash script for dealing with tabular data in several formats, guessing types and detecting headers.
Language:Shell0 2 00
rmrschub/CVAE_FederatedLearning
Language:Jupyter Notebook0 1 00
rmrschub/db2triples
Antidot implementations of R2RML and Direct Mapping specifications
Language:Java0 2 00
rmrschub/elpv
0 2 00
rmrschub/gtfs-ld
0 2 00
rmrschub/iri-parser
An ANTLR 4 grammar and parser for IRI (Internationalized Resource Identifiers).
Language:ANTLR00
rmrschub/libart
Adaptive Radix Trees implemented in C
Language:C2 0
rmrschub/Likelihood-based-Generative-Models
Likelihood-based Generative Models are a class of generative model that model the distribution of the data directly with a likelihood function. The most popular subclass of likelihood-based generative models is variational autoencoders.
1 0
rmrschub/minioLD
minioLD is a simple Linked Data API for the Minio Cloud Storage.
Language:Java2 0
rmrschub/mptstore
Mapped Predicate Table-based Triplestore (used by trippi)
Language:Java2 0
rmrschub/redisLD
2 0
rmrschub/resnet50_bees
Resnet50 for BeeDataset
1 0
rmrschub/rmrschub.github.io
Language:HTML2 0
rmrschub/SIMLD
Language:C++2 0
rmrschub/SP3
An ANTLR 4 grammar and parser for SPARQL Property Path expressions
2 0
rmrschub/SPARQLSyntaxDiagrams
Language:HTML2 0
rmrschub/TL-betaVAE
betaVAE with triplet loss term
1 0
rmrschub/Trimesh2
Cmake build of http://gfx.cs.princeton.edu/proj/trimesh2/
Language:C2 0
rmrschub/varroa_classifier_distributed
Language:Shell1 0
rmrschub/varroa_classifier_notebooks
Language:Jupyter Notebook
rmrschub/volcano-tf-multiworkermirrored
1 0
rmrschub/vq-vae
Language:Shell1 0
rmrschub/WebVOWL
Visualizing ontologies on the Web
Language:JavaScript2 0