Pinned Repositories
aleph
Port of Aleph to SWI-Prolog
bddem
bddem is a SWI-Prolog pack for using Binary Decision Diagrams
cplint
cplint is a suite of programs for reasoning with probabilistic logic programs
cplint_datasets
Datasets for cplint
liftcover
Liftcover probabilistic inductive logic programming system
matrix
Operations with matrices, SWI pack
pascal
Probabilistic inductive constraint logic
plp-slides
Slides for the book Foundations of Probabilistic Logic Programming
swish
SWI-Prolog for SHaring: a SWI-Prolog web IDE
trill-on-swish
The Trill probabilistic ontology reasoner on SWISH
friguzzi's Repositories
friguzzi/cplint
cplint is a suite of programs for reasoning with probabilistic logic programs
friguzzi/aleph
Port of Aleph to SWI-Prolog
friguzzi/matrix
Operations with matrices, SWI pack
friguzzi/trill-on-swish
The Trill probabilistic ontology reasoner on SWISH
friguzzi/bddem
bddem is a SWI-Prolog pack for using Binary Decision Diagrams
friguzzi/swish
SWI-Prolog for SHaring: a SWI-Prolog web IDE
friguzzi/pascal
Probabilistic inductive constraint logic
friguzzi/auc
Library for computing the Area Under the Receiving Operating Characteristics and Precision Recall curves
friguzzi/liftcover
Liftcover probabilistic inductive logic programming system
friguzzi/cplint_r
An SWI Prolog library to plot R's ggplot2 graphs for Cplint on SWISH
friguzzi/lp4kg
Logic Programming for Knowledge Graphs
friguzzi/trill_on_swish
Cliopatria pack for trill
friguzzi/belief-propagation
Web application for performing step by step belief propagation over Bayesian networks
friguzzi/lbfgs
An interface to call libLBFGS from within SWI-Prolog
friguzzi/quantum_counting
friguzzi/anyburl-experiments
Script to generate data and scripts for anyburl experiments.
friguzzi/belief_prop
friguzzi/biokg
A Knowledge Graph for Relational Learning On Biological Data
friguzzi/ciml
A Course in Machine Learning
friguzzi/ffi
SWI-Prolog dynamic C interface
friguzzi/ffimatrix
friguzzi/friguzzi
public GitHub Profile
friguzzi/pasta
Tool to perform various types of inference in probabilistic answer set programs under the credal semantics and with statistical statements.
friguzzi/phil
PHIL is a parameter learning algorithm that learns the parameters of Hierarchical Probabilistic Logic Programs applying gradient descent and Expectation Maximization
friguzzi/PyClause
A libary for using and learning symbolic rules for knowledge graphs
friguzzi/pygments
Pygments is a generic syntax highlighter written in Python
friguzzi/QuantumKatas
Programming exercises for learning Q# and quantum computing
friguzzi/qwmc
friguzzi/RAVEN
RAVEN: A Dataset for Relational and Analogical Visual rEasoNing
friguzzi/scikit-tut
scikit tutorial