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
  ☆11Updated 7 months ago
• cambridge-mlg / EinsumNetworks
  ☆52Updated last year
• franrruiz / uivi
  Code for Unbiased Implicit Variational Inference (UIVI)
  ☆14Updated 6 years ago
• mfinzi / residual-pathway-priors
  ☆19Updated 3 years ago
• robert-lieck / RBN
  Recursive Bayesian Networks
  ☆11Updated 3 weeks ago
• remilepriol / causal-adaptation-speed
  Investigate the speed of adaptation of structural causal models
  ☆15Updated 4 years ago
• desi-ivanova / idad
  Implicit Deep Adaptive Design (iDAD): Policy-Based Experimental Design without Likelihoods
  ☆19Updated 3 years ago
• priyankjaini / discFlowMH
  Pytorch code for Sampling in Combinatorial Spaces with SurVAE Flow Augmented MCMC
  ☆12Updated 4 years ago
• dimarkov / bmr4pml
  Bayesian model reduction for probabilistic machine learning
  ☆11Updated last month
• franrruiz / vcd_divergence
  Code to minimize the Variational Contrastive Divergence (VCD)
  ☆29Updated 6 years ago
• trappmartin / BayesianSumProductNetworks
  Implementation of Bayesian Sum-Product Networks
  ☆13Updated 5 years ago
• gwgundersen / rflvm
  Random feature latent variable models in Python
  ☆22Updated last year
• fzaiser / nonparametric-hmc
  Implementation of Nonparametric Hamiltonian Monte Carlo
  ☆12Updated 2 years ago
• LaurenceA / bayesfunc
  ☆15Updated 2 years ago
• aboustati / vargrad
  Code accompanying VarGrad: A Low-Variance Gradient Estimator for Variational Inference
  ☆12Updated 4 years ago
• harvardnlp / strux
  ☆18Updated 3 years ago
• franrruiz / augment-reduce
  Code for Augment & Reduce, a scalable stochastic algorithm for large categorical distributions
  ☆10Updated 7 years ago
• mcbal / afem
  Implementation of approximate free-energy minimization in PyTorch
  ☆19Updated 3 years ago
• akbir / deq-jax
  [NeurIPS'19] Deep Equilibrium Models Jax Implementation
  ☆39Updated 4 years ago
• jemisjoky / umps_code
  u-MPS implementation and experimentation code used in the paper Tensor Networks for Probabilistic Sequence Modeling (https://arxiv.org/ab…
  ☆19Updated 4 years ago
• willieneis / ProBO
  ProBO: Versatile Bayesian Optimization Using Any Probabilistic Programming Language
  ☆15Updated 5 years ago
• deep-spin / sparse_continuous_distributions
  This repository provides open-source code for sparse continuous distributions and corresponding Fenchel-Young losses.
  ☆16Updated 2 years ago
• facebookresearch / neural-scs
  Neural Fixed-Point Acceleration for Convex Optimization
  ☆29Updated 2 years ago
• uber-research / vargp
  Variational Auto-Regressive Gaussian Processes for Continual Learning
  ☆21Updated 3 years ago
• gebob19 / introduction_to_normalizing_flows
  Jupyter Notebook corresponding to 'Going with the Flow: An Introduction to Normalizing Flows'
  ☆26Updated 4 years ago
• aterenin / SparseGPAX
  An ultra-lightweight JAX implementation of sparse Gaussian processes via pathwise sampling.
  ☆22Updated 4 years ago
• Runjing-Liu120 / RaoBlackwellizedSGD
  A public repository for our paper, Rao-Blackwellized Stochastic Gradients for Discrete Distributions
  ☆22Updated 6 years ago
• IDSIA / neuraldiffeq-fwp
  Official repository for the paper "Neural Differential Equations for Learning to Program Neural Nets Through Continuous Learning Rules" (…
  ☆22Updated 2 years ago
• csinva / mdl-complexity
  MDL Complexity computations and experiments from the paper "Revisiting complexity and the bias-variance tradeoff".
  ☆18Updated last year
• facebookresearch / productive_concept_learning
  Code for the benchmark containing dataset, models and metrics for productive concept learning -- a kind of compositional reasoning task t…
  ☆17Updated 3 years ago