Alternatives and similar repositories for spae

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

• arranger1044 / spyn
  Sum-Product Network learning routines in python
  ☆27Updated 10 years ago
• cambridge-mlg / RAT-SPN
  Code for UAI'19: Random Sum-Product Networks: A Simple and Effective Approach to Probabilistic Deep Learning
  ☆37Updated 5 years ago
• trappmartin / BayesianSumProductNetworks
  Implementation of Bayesian Sum-Product Networks
  ☆13Updated 5 years ago
• alejandromolinaml / MSPN
  Mixed Sum-Product Networks: A Deep Architecture for Hybrid Domains
  ☆16Updated 7 years ago
• cambridge-mlg / EinsumNetworks
  ☆52Updated last year
• UCLA-StarAI / LearnPSDD
  ☆15Updated 6 years ago
• arranger1044 / DEBD
  A collection of commonly used datasets as benchmarks for density estimation in MaLe
  ☆19Updated 5 years ago
• wittawatj / kernel-mod
  NeurIPS 2018. Linear-time model comparison tests.
  ☆18Updated 5 years ago
• pronobis / libspn-keras
  Library for learning and inference with Sum-product Networks utilizing TensorFlow 2.x and Keras
  ☆48Updated 4 years ago
• probabilistic-learning / abda
  Code and supplementary material for "Automatic Bayesian Density Analysis", AAAI 19
  ☆21Updated 6 years ago
• arranger1044 / probabilistic-circuits
  A curated collection of papers on probabilistic circuits, computational graphs encoding tractable probability distributions.
  ☆50Updated last year
• AlCorreia / GeFs
  Generative Forests in Python
  ☆35Updated last year
• wesselb / NeuralProcesses.jl
  A framework for composing Neural Processes in Julia
  ☆76Updated 4 years ago
• franrruiz / vcd_divergence
  Code to minimize the Variational Contrastive Divergence (VCD)
  ☆29Updated 6 years ago
• UCLA-StarAI / Density-Estimation-Datasets
  A collection of commonly used datasets as benchmarks for density estimation
  ☆24Updated 5 years ago
• whsu / spn
  Online structure learning of sum product networks
  ☆9Updated 8 years ago
• trappmartin / AdvancedProbabilisticCircuits.jl
  Probabilistic Circuits in Julia
  ☆10Updated last year
• IraKorshunova / bruno
  a deep recurrent model for exchangeable data
  ☆34Updated 4 years ago
• tbrx / compiled-inference
  Train neural networks to use as SMC and importance sampling proposals
  ☆24Updated 7 years ago
• Tractables / ProbabilisticCircuits.jl
  Probabilistic Circuits from the Juice library
  ☆106Updated last year
• djsutherland / igms
  Implicit generative models and related stuff based on the MMD, in PyTorch
  ☆16Updated 4 years ago
• mauriziofilippone / deep_gp_random_features
  ☆40Updated 6 years ago
• ssydasheng / Neural-Kernel-Network
  Code for "Differentiable Compositional Kernel Learning for Gaussian Processes" https://arxiv.org/abs/1806.04326
  ☆71Updated 6 years ago
• duvenaud / warped-mixtures
  Code for density estimation with nonparametric cluster shapes.
  ☆39Updated 9 years ago
• blei-lab / variational-smc
  Reference implementation of variational sequential Monte Carlo proposed by Naesseth et al. "Variational Sequential Monte Carlo" (2018)
  ☆65Updated 6 years ago
• UCLA-StarAI / Forclift
  First-order knowledge compilation for lifted probabilistic inference
  ☆11Updated 8 years ago
• jameshensman / VFF
  Variational Fourier Features
  ☆86Updated 4 years ago
• karlnapf / ds3_kernel_testing
  Material for the practical of the DS3 course on "Representing and comparing probabilities with kernels"
  ☆26Updated 6 years ago
• art-ai / pypsdd
  The Python PSDD Package
  ☆16Updated last month
• arranger1044 / awesome-spn
  A structured list of resources about Sum-Product Networks (SPNs)
  ☆254Updated 4 years ago