Alternatives and similar repositories for pypsdd:

Users that are interested in pypsdd are comparing it to the libraries listed below

• ML-KULeuven / PySDD
  Python package for Sentential Decision Diagrams (SDD)
  ☆55Updated 3 weeks ago
• arranger1044 / DEBD
  A collection of commonly used datasets as benchmarks for density estimation in MaLe
  ☆19Updated 5 years ago
• arranger1044 / probabilistic-circuits
  A curated collection of papers on probabilistic circuits, computational graphs encoding tractable probability distributions.
  ☆49Updated last year
• weighted-model-integration / pywmi
  ☆19Updated 2 years ago
• UCLA-StarAI / LearnPSDD
  ☆15Updated 6 years ago
• UCLA-StarAI / Density-Estimation-Datasets
  A collection of commonly used datasets as benchmarks for density estimation
  ☆24Updated 5 years ago
• EleMisi / VAEL
  Codebase for VAEL: Bridging Variational Autoencoders and Probabilistic Logic Programming
  ☆20Updated last year
• crunchiness / lernd
  Lernd is ∂ILP (dILP) framework implementation based on Deepmind's paper Learning Explanatory Rules from Noisy Data.
  ☆23Updated last year
• tomsilver / policies_logic_programs
  Few-shot Bayesian Imitation Learning with Policies as Logic over Programs
  ☆19Updated last month
• KareemYousrii / SPL
  This repository holds the code for the NeurIPS 2022 paper, Semantic Probabilistic Layers
  ☆27Updated last year
• cambridge-mlg / EinsumNetworks
  ☆52Updated last year
• Tractables / ProbabilisticCircuits.jl
  Probabilistic Circuits from the Juice library
  ☆106Updated 9 months ago
• UCLA-StarAI / LogisticCircuit
  Logistic Circuits
  ☆35Updated 5 years ago
• logic-and-learning-lab / ilp-experiments
  Experimentation framework for Popper
  ☆21Updated 10 months ago
• QuMuLab / python-nnf
  Manipulate NNF (Negation Normal Form) logical sentences
  ☆17Updated 2 years ago
• pietrobarbiero / logic_explained_networks
  Logic Explained Networks is a python repository implementing explainable-by-design deep learning models.
  ☆48Updated last year
• AlCorreia / cm-tpm
  Code in support of the paper Continuous Mixtures of Tractable Probabilistic Models
  ☆12Updated 5 months ago
• Tractables / Dice.jl
  ☆19Updated last week
• cambridge-mlg / RAT-SPN
  Code for UAI'19: Random Sum-Product Networks: A Simple and Effective Approach to Probabilistic Deep Learning
  ☆37Updated 4 years ago
• UCLA-StarAI / Semantic-Loss
  Semantic Loss code
  ☆59Updated 5 years ago
• alejandromolinaml / MSPN
  Mixed Sum-Product Networks: A Deep Architecture for Hybrid Domains
  ☆16Updated 6 years ago
• AlCorreia / GeFs
  Generative Forests in Python
  ☆34Updated last year
• arranger1044 / spyn
  Sum-Product Network learning routines in python
  ☆27Updated 9 years ago
• joschout / tilde
  Top-down induction of first-order logical decision trees: master AI thesis implementation
  ☆23Updated 4 years ago
• ilaspltd / ILASP-releases
  ☆36Updated 4 months ago
• azreasoners / NeurASP
  ☆43Updated last year
• trappmartin / BayesianSumProductNetworks
  Implementation of Bayesian Sum-Product Networks
  ☆13Updated 4 years ago
• ermongroup / SPN_Variational_Inference
  PyTorch implementation for "Probabilistic Circuits for Variational Inference in Discrete Graphical Models", NeurIPS 2020
  ☆17Updated 3 years ago
• probsys / sppl
  Probabilistic programming system for fast and exact symbolic inference
  ☆79Updated 8 months ago
• ml-research / SLASH
  Scalable Neural-Probabilistic Answer Set Programming
  ☆17Updated 9 months ago