friguzzi's Stars
jakevdp/PythonDataScienceHandbook
Python Data Science Handbook: full text in Jupyter Notebooks
dmlc/xgboost
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow
marcotcr/lime
Lime: Explaining the predictions of any machine learning classifier
apple/turicreate
Turi Create simplifies the development of custom machine learning models.
blei-lab/edward
A probabilistic programming language in TensorFlow. Deep generative models, variational inference.
christophM/interpretable-ml-book
Book about interpretable machine learning
damianavila/RISE
RISE: "Live" Reveal.js Jupyter/IPython Slideshow Extension
dmlc/gluon-nlp
NLP made easy
marcotcr/anchor
Code for "High-Precision Model-Agnostic Explanations" paper
odpi/OpenDS4All
OpenDS4All project, hosted by LF AI & Data
LogtalkDotOrg/logtalk3
Logtalk - declarative object-oriented logic programming language
linqs/psl
The PSL software from the University of Maryland and the University of California Santa Cruz
ciao-lang/ciao
Ciao is a modern Prolog implementation that builds up from a logic-based simple kernel designed to be portable, extensible, and modular.
Web-Prolog/swi-web-prolog
A proof-of-concept SWI-Prolog implementation of Web Prolog
arthwang/vsc-prolog
A VS Code extension that provides language support for prolog
jldupont/prolog.js
prolog interpreter in javascript
raphink/moderntimeline
A timeline package for moderncv
SWI-Prolog/tabled-prolog-book
Programming in Tabled Prolog by David S Warren
epfl-exts/dl-workshop
Intro to deep learning workshop.
athieriot/irssi-ascii-image
Display an ASCII representation of an image using jp2a in IRSSI
damianoazzolini/pasta
Tool to perform various types of inference in probabilistic answer set programs under the credal semantics and with statistical statements.
ArnaudFadja/phil
PHIL is a parameter learning algorithm that learns the parameters of Hierarchical Probabilistic Logic Programs applying gradient descent and Expectation Maximization
dg1an3/ALGT
An expert system using SWI Prolog that can be used to verify imaging algorithms
frnmst/cplint_r
An SWI Prolog library to plot ggplot2 charts for Cplint on SWISH
ArnaudFadja/phil_datasets
This repository contains examples of Hierarchical Probabilistic Logic Programs datasets.
calura-c/beliefPropagation
darkangelcraft/BayesianNetwork
laic5/catvsdog
Convolution Neural Network to classify cat vs. dog images
MirkoCovizzi/BayesianNetwork
zwiseman/prologMotion
image motion tracking