Alternatives and similar repositories for spn:

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

• alejandromolinaml / MSPN
  Mixed Sum-Product Networks: A Deep Architecture for Hybrid Domains
  ☆16Updated 6 years ago
• arranger1044 / spae
  Code and supplemental material for "Sum-Product Autoencoding: Encoding and Decoding Representations using Sum-Product Networks"
  ☆8Updated 7 years ago
• arranger1044 / spyn
  Sum-Product Network learning routines in python
  ☆27Updated 9 years ago
• pronobis / libspn
  Library for learning and inference with Sum-product Networks
  ☆23Updated 5 years ago
• arranger1044 / awesome-spn
  A structured list of resources about Sum-Product Networks (SPNs)
  ☆253Updated 4 years ago
• probabilistic-learning / abda
  Code and supplementary material for "Automatic Bayesian Density Analysis", AAAI 19
  ☆21Updated 6 years ago
• SPFlow / SPFlow
  Sum Product Flow: An Easy and Extensible Library for Sum-Product Networks
  ☆296Updated last month
• markvdw / convgp
  Convolutional Gaussian processes based on GPflow.
  ☆96Updated 7 years ago
• AMLab-Amsterdam / MNF_VBNN
  Multiplicative Normalizing Flow (MNF) posteriors for variational Bayesian neural networks
  ☆65Updated 4 years ago
• kd383 / NetworkDOS
  Network Density of States (https://arxiv.org/abs/1905.09758) (KDD 2019)
  ☆25Updated 5 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 / sghmc_dgp
  ☆28Updated 6 years ago
• yaringal / ConcreteDropout
  Code for Concrete Dropout as presented in https://arxiv.org/abs/1705.07832
  ☆249Updated 6 years ago
• ericsuh / dirichlet
  Dirichlet MLE python library
  ☆116Updated 11 months ago
• wittawatj / kernel-gof
  NeurIPS 2017 best paper. An interpretable linear-time kernel goodness-of-fit test.
  ☆67Updated 5 years ago
• markvdw / GParML
  Distributed Variational Inference in Sparse Gaussian Process Regression and Latent Variable Models.
  ☆43Updated 11 years ago
• vseledkin / Sum-Product-Networks
  Sum-Product Networks in Python
  ☆12Updated 10 years ago
• kekeblom / DeepCGP
  Deep convolutional gaussian processes.
  ☆78Updated 5 years ago
• RenatoGeh / gospn
  A free, open-source inference and learning library for Sum-Product Networks (SPN)
  ☆24Updated 6 years ago
• AMLab-Amsterdam / SEVDL_MGP
  Example implementation of the Bayesian neural network in "Structured and Efficient Variational Deep Learning with Matrix Gaussian Posteri…
  ☆30Updated 4 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
• kasparmartens / NeuralProcesses
  Neural Processes implementation for 1D regression
  ☆65Updated 6 years ago
• IraKorshunova / bruno
  a deep recurrent model for exchangeable data
  ☆34Updated 4 years ago
• blei-lab / variational-smc
  Reference implementation of variational sequential Monte Carlo proposed by Naesseth et al. "Variational Sequential Monte Carlo" (2018)
  ☆64Updated 5 years ago
• grobgl / rnnsm
  ☆18Updated 7 years ago
• mtsang / neural-interaction-detection
  Detecting Statistical Interactions from Neural Network Weights
  ☆47Updated 4 years ago
• pemami4911 / sinkhorn-policy-gradient.pytorch
  Code accompanying the paper "Learning Permutations with Sinkhorn Policy Gradient"
  ☆39Updated 6 years ago
• MarcCote / NADE
  Neural Autoregressive Distribution Estimation
  ☆53Updated 8 years ago
• talwagner / efficient_kde
  Efficient LSH-based kernel density estimation
  ☆29Updated 5 years ago
• mauriziofilippone / deep_gp_random_features
  ☆40Updated 5 years ago