Alternatives and similar repositories for SPN_Variational_Inference

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

• AlCorreia / cm-tpm
  Code in support of the paper Continuous Mixtures of Tractable Probabilistic Models
  ☆12Updated last year
• deep-spin / sparse_continuous_distributions
  This repository provides open-source code for sparse continuous distributions and corresponding Fenchel-Young losses.
  ☆16Updated 2 years ago
• fzaiser / nonparametric-hmc
  Implementation of Nonparametric Hamiltonian Monte Carlo
  ☆13Updated 2 years ago
• cambridge-mlg / EinsumNetworks
  ☆53Updated 2 years ago
• gwgundersen / rflvm
  Random feature latent variable models in Python
  ☆23Updated 2 years ago
• harvardnlp / strux
  ☆18Updated 3 years ago
• KarenUllrich / binary-VAE
  A minimal implementation of a VAE with BinConcrete (relaxed Bernoulli) latent distribution in TensorFlow.
  ☆22Updated 5 years ago
• aboustati / vargrad
  Code accompanying VarGrad: A Low-Variance Gradient Estimator for Variational Inference
  ☆12Updated 5 years ago
• franrruiz / uivi
  Code for Unbiased Implicit Variational Inference (UIVI)
  ☆15Updated 7 years ago
• akbir / deq-jax
  [NeurIPS'19] Deep Equilibrium Models Jax Implementation
  ☆42Updated 5 years ago
• wouterkool / estimating-gradients-without-replacement
  Estimating Gradients for Discrete Random Variables by Sampling without Replacement
  ☆40Updated 5 years ago
• HEmile / a-nesi
  A Scalable Approximate Method for Probabilistic Neurosymbolic Inference
  ☆23Updated 11 months ago
• mblondel / projection-losses
  Python implementation of projection losses.
  ☆27Updated 6 years ago
• choidami / sst
  ☆50Updated 5 years ago
• dimarkov / bmr4pml
  Bayesian model reduction for probabilistic machine learning
  ☆11Updated 6 months ago
• franrruiz / vcd_divergence
  Code to minimize the Variational Contrastive Divergence (VCD)
  ☆29Updated 6 years ago
• remilepriol / causal-adaptation-speed
  Investigate the speed of adaptation of structural causal models
  ☆15Updated 4 years ago
• Runjing-Liu120 / RaoBlackwellizedSGD
  A public repository for our paper, Rao-Blackwellized Stochastic Gradients for Discrete Distributions
  ☆22Updated 6 years ago
• robert-lieck / RBN
  Recursive Bayesian Networks
  ☆11Updated 8 months ago
• mfinzi / residual-pathway-priors
  ☆22Updated 4 years ago
• priyankjaini / discFlowMH
  Pytorch code for Sampling in Combinatorial Spaces with SurVAE Flow Augmented MCMC
  ☆11Updated 4 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
• MichaelArbel / GeneralizedEBM
  ☆54Updated last year
• KareemYousrii / SPL
  This repository holds the code for the NeurIPS 2022 paper, Semantic Probabilistic Layers
  ☆30Updated 2 years ago
• conormdurkan / lfi
  Neural likelihood-free methods in PyTorch.
  ☆39Updated 5 years ago
• anirudh9119 / walkback_nips17
  Variational Walkback, NIPS'17
  ☆28Updated 8 years ago
• EleMisi / VAEL
  Codebase for VAEL: Bridging Variational Autoencoders and Probabilistic Logic Programming
  ☆23Updated 2 years ago
• LaurenceA / bayesfunc
  ☆15Updated 3 years ago
• mlysy / rodeo-legacy
  Probabilistic Solution of Differential Equations
  ☆13Updated 3 years ago
• desi-ivanova / idad
  Implicit Deep Adaptive Design (iDAD): Policy-Based Experimental Design without Likelihoods
  ☆21Updated 4 years ago