Alternatives and similar repositories for GeFs:

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

• cambridge-mlg / EinsumNetworks
  ☆50Updated last year
• pronobis / libspn-keras
  Library for learning and inference with Sum-product Networks utilizing TensorFlow 2.x and Keras
  ☆47Updated 3 years ago
• AlCorreia / cm-tpm
  Code in support of the paper Continuous Mixtures of Tractable Probabilistic Models
  ☆12Updated 3 months ago
• arranger1044 / probabilistic-circuits
  A curated collection of papers on probabilistic circuits, computational graphs encoding tractable probability distributions.
  ☆49Updated 11 months ago
• AishwaryaSivaraman / COMET
  Counterexample-Guided Learning of Monotonic Networks
  ☆18Updated 2 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
• arranger1044 / DEBD
  A collection of commonly used datasets as benchmarks for density estimation in MaLe
  ☆17Updated 5 years ago
• wjmaddox / spectralgp
  Code repo for "Function-Space Distributions over Kernels"
  ☆31Updated 4 years ago
• trappmartin / BayesianSumProductNetworks
  Implementation of Bayesian Sum-Product Networks
  ☆12Updated 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
• ermongroup / SPN_Variational_Inference
  PyTorch implementation for "Probabilistic Circuits for Variational Inference in Discrete Graphical Models", NeurIPS 2020
  ☆16Updated 3 years ago
• UCLA-StarAI / Density-Estimation-Datasets
  A collection of commonly used datasets as benchmarks for density estimation
  ☆24Updated 5 years ago
• ialong / GPt
  Gaussian Processes for Sequential Data
  ☆18Updated 4 years ago
• jameshensman / VFF
  Variational Fourier Features
  ☆83Updated 3 years ago
• sremes / nssm-gp
  Non-stationary spectral mixture kernels implemented in GPflow
  ☆28Updated 6 years ago
• karalets / TyXe
  Library for Bayesian Neural Networks in PyTorch (first version as published in ProbProg2020)
  ☆42Updated 3 years ago
• UCLA-StarAI / LearnPSDD
  ☆15Updated 6 years ago
• talesa / amci
  Amortized Monte Carlo Integration
  ☆15Updated 4 years ago
• vzantedeschi / LatentTrees
  Code source of Learning Binary Trees by Argmin Differentiation.
  ☆12Updated 2 years ago
• probabilistic-learning / abda
  Code and supplementary material for "Automatic Bayesian Density Analysis", AAAI 19
  ☆21Updated 6 years ago
• StannisZhou / mixed_hmc
  ☆12Updated 2 years ago
• vicariousinc / PGMax
  Loopy belief propagation for factor graphs on discrete variables, in JAX!
  ☆64Updated 3 months ago
• rgiordan / vittles
  "Variational inference tools to leverage estimator sensitivity."
  ☆16Updated last year
• MFreidank / pysgmcmc
  Bayesian Deep Learning with Stochastic Gradient MCMC Methods
  ☆38Updated 3 years ago
• probml / JSL
  Jax SSM Library
  ☆49Updated 2 years ago
• aterenin / SparseGPAX
  An ultra-lightweight JAX implementation of sparse Gaussian processes via pathwise sampling.
  ☆22Updated 3 years ago
• LaurenceA / bayesfunc
  ☆15Updated 2 years ago
• IPL-UV / jaxkern
  A lightweight didactic library of kernel methods using the back-end JAX.
  ☆12Updated last year
• openopt / chop
  CHOP: An optimization library based on PyTorch, with applications to adversarial examples and structured neural network training.
  ☆77Updated 10 months ago
• arranger1044 / spyn
  Sum-Product Network learning routines in python
  ☆26Updated 9 years ago