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SPFlow 1.0.0
SPFlow 1.0.0
  • Getting Started
  • Concepts
  • Paper Zoo
    • Random and Tensorized Sum-Product Networks (RAT-SPN)
    • Einsum Networks (Einet)
    • Hidden Chow-Liu Trees (HCLT)
    • Convolutional Probabilistic Circuits (ConvPc)
    • Autoencoding Probabilistic Circuits (APC)
    • Continuous Mixtures (CMs)
    • Sum of Compatible Squares (SOCS)
    • Probabilistic Integral Circuits (PICs)
  • User Guide
  • Developer Guide
  • Using SPFlow with sklearn
  • API Documentation
    • Base Classes
    • Data Structures
    • Module Shape
    • DSL (Example Construction)
    • Sum Modules
    • Product Modules
    • Convolutional Modules
    • Leaf Modules
    • Operations
    • Learning and Training
    • Scope Management
    • Utilities
    • Measures
    • Wrapper Modules
    • Interfaces
    • Exceptions
  • Frequently Asked Questions
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Paper ZooΒΆ

The Paper Zoo (spflow.zoo) contains reference implementations of various probabilistic circuit architectures and learning algorithms from scientific publications.

  • Random and Tensorized Sum-Product Networks (RAT-SPN)
  • Einsum Networks (Einet)
  • Hidden Chow-Liu Trees (HCLT)
  • Convolutional Probabilistic Circuits (ConvPc)
  • Autoencoding Probabilistic Circuits (APC)
  • Continuous Mixtures (CMs)
  • Sum of Compatible Squares (SOCS)
  • Probabilistic Integral Circuits (PICs)
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Random and Tensorized Sum-Product Networks (RAT-SPN)
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