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Semantic-Loss
Semantic Loss codeLogisticCircuit
Logistic CircuitsLearnPSDD
Forclift
First-order knowledge compilation for lifted probabilistic inferenceSparsePC
SIMPLE
SIMPLE: A Gradient Estimator for $k$-subset Samplingmc2
Code for "On Tractable Computation of Expected Predictions, NeurIPS 2019"Circuit-Model-Zoo
A collection of logical, probabilistic, and logistic circuitsSemantic-Strengthening
LearnFairNB
GeLaTo
NaCL
Naive Conformant LearningFairPC.jl
Group Fairness by Probabilistic Modeling with Latent Fair DecisionsMoAT
Mixture of All TreesCollapsed-Compilation
Collapsed compilation codempwmi
Code for ICML2020 paper "Scaling up Hybrid Probabilistic Inference with Logical and Arithmetic Constraints via Message Passing"recoin
Code for NeurIPS 2020 paper "Probabilistic Inference with Algebraic Constraints: Theoretical Limits and Practical Approximations"Tractable-PC-Regularization
Code of the NeurIPS 2021 paper "Tractable Regularization of Probabilistic Circuits"Strudel
pysmi
proof-of-concept experiments for UAI19 paper "Efficient Search-based Weighted Model Integration"ProbabilisticSufficientExplanations
CIBER
Collapsed Inference for Bayesian Deep LearningCountLoss
TrimBN
PC-DiscriminationPatterns
LearnSDD
Tractable learning of probability distributions with Sentential Decision DiagramsAnalogous-Disentangled-Actor-Critic
Off-Policy Deep Reinforcement Learning with Analogous Disentangled ExplorationScalaDD
Experimental implementation of decision diagrams (OBDDs, SDDs, PSDDs) in Scala.DensityEstimationDatasets.jl
genetic-pc
NeSyEntropy
FO-CNF
This document describes a file format called FO-CNF for representing function-free first-order conjunctive normal form theories.Py-Psdd
LearnPsdd implemented in PythonPseudoSL
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.Tiramisu
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