Alternatives and similar repositories for spyn:

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

• arranger1044 / spae
  Code and supplemental material for "Sum-Product Autoencoding: Encoding and Decoding Representations using Sum-Product Networks"
  ☆8Updated 7 years ago
• alejandromolinaml / MSPN
  Mixed Sum-Product Networks: A Deep Architecture for Hybrid Domains
  ☆16Updated 6 years ago
• 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
• cambridge-mlg / EinsumNetworks
  ☆52Updated last year
• AlCorreia / GeFs
  Generative Forests in Python
  ☆36Updated last year
• pronobis / libspn-keras
  Library for learning and inference with Sum-product Networks utilizing TensorFlow 2.x and Keras
  ☆48Updated 3 years ago
• vseledkin / Sum-Product-Networks
  Sum-Product Networks in Python
  ☆12Updated 11 years ago
• trappmartin / BayesianSumProductNetworks
  Implementation of Bayesian Sum-Product Networks
  ☆13Updated 4 years ago
• arranger1044 / DEBD
  A collection of commonly used datasets as benchmarks for density estimation in MaLe
  ☆19Updated 5 years ago
• pronobis / libspn
  Library for learning and inference with Sum-product Networks
  ☆23Updated 5 years ago
• UCLA-StarAI / Density-Estimation-Datasets
  A collection of commonly used datasets as benchmarks for density estimation
  ☆24Updated 5 years ago
• arranger1044 / probabilistic-circuits
  A curated collection of papers on probabilistic circuits, computational graphs encoding tractable probability distributions.
  ☆49Updated last year
• probabilistic-learning / abda
  Code and supplementary material for "Automatic Bayesian Density Analysis", AAAI 19
  ☆21Updated 6 years ago
• RenatoGeh / gospn
  A free, open-source inference and learning library for Sum-Product Networks (SPN)
  ☆24Updated 6 years ago
• arranger1044 / awesome-spn
  A structured list of resources about Sum-Product Networks (SPNs)
  ☆253Updated 4 years ago
• whsu / spn
  Online structure learning of sum product networks
  ☆9Updated 8 years ago
• AlCorreia / cm-tpm
  Code in support of the paper Continuous Mixtures of Tractable Probabilistic Models
  ☆12Updated 5 months ago
• UCLA-StarAI / LearnPSDD
  ☆15Updated 6 years ago
• UCLA-StarAI / Forclift
  First-order knowledge compilation for lifted probabilistic inference
  ☆11Updated 7 years ago
• 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
• karlnapf / kernel_hmc
  Code for NIPS 2015 "Gradient-Free Hamiltonian Monte Carlo via Effecient Kernel Exponential Families"
  ☆25Updated 6 years ago
• duvenaud / warped-mixtures
  Code for density estimation with nonparametric cluster shapes.
  ☆38Updated 8 years ago
• weighted-model-integration / pywmi
  ☆19Updated 2 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
• blei-lab / variational-smc
  Reference implementation of variational sequential Monte Carlo proposed by Naesseth et al. "Variational Sequential Monte Carlo" (2018)
  ☆65Updated 5 years ago
• pyro-ppl / pyro-models
  Repository of models in Pyro
  ☆29Updated 8 months ago
• wittawatj / kernel-gof
  NeurIPS 2017 best paper. An interpretable linear-time kernel goodness-of-fit test.
  ☆67Updated 5 years ago
• art-ai / pypsdd
  The Python PSDD Package
  ☆16Updated 6 months ago
• braun-steven / simple-einet
  An implementation of EinsumNetworks in PyTorch.
  ☆21Updated 2 months ago