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alice-ilp-for-code-search

repo for code of paper accepted for publication in ICSE 2019

ampligraph

Python library for Representation Learning on Knowledge Graphs https://docs.ampligraph.org

analogous-disentangled-actor-critic

Off-Policy Deep Reinforcement Learning with Analogous Disentangled Exploration

ciber

Collapsed Inference for Bayesian Deep Learning

circuit-model-zoo

A collection of logical, probabilistic, and logistic circuits

circuit-ops-atlas

cnn-text-classification-tf

Convolutional Neural Network for Text Classification in Tensorflow

collapsed-compilation

Collapsed compilation code

comet

Counterexample-Guided Learning of Monotonic Networks

countloss

ctrl-g

cudd.jl

Wrapper for the CUDD library for decision diagrams

density-estimation-datasets

A collection of commonly used datasets as benchmarks for density estimation

densityestimationdatasets.jl

dice

Exact inference for discrete probabilistic programs. (Research code, more documentation and ergonomics to come)

direct-factored-deletion

Prototype implementation of direct and factored deletion algorithms to learn Bayesian network parameters from incomplete data under the MCAR and MAR assumptions. These algorithms are consistent, yet they only require a single pass over the data, and no inference in the Bayesian network.

expectedkernels

Code for UAI 2021 paper "Tractable Computation of Expected Kernels"

fairpc.jl

Group Fairness by Probabilistic Modeling with Latent Fair Decisions

fastforwardac

Python Program to output a feed-forward AC to find marginal probabilities

fo-cnf

This document describes a file format called FO-CNF for representing function-free first-order conjunctive normal form theories.

forclift

First-order knowledge compilation for lifted probabilistic inference

gelato

genetic-pc

graphqembed

Learning to query complex networks

hwawareprob

Code for the paper or the paper "Towards Hardware-Aware Tractable Learning of Probabilistic Models" (NeurIPS 2019)

jsdd

Java wrapper for the sdd 2.0 c library

learnfairnb

learnpsdd

learnsdd

Tractable learning of probability distributions with Sentential Decision Diagrams

learnsdd-1

Implementation of the Structure Learning Algorithm for Sentential Decision Diagrams