Alternatives and similar repositories for libspn-keras

Users that are interested in libspn-keras are comparing it to the libraries listed below

• ethanluoyc / dhmc-jax
  Discontinuous Hamiltonian Monte Carlo in JAX
  ☆42Updated 5 years ago
• conormdurkan / autoregressive-energy-machines
  Autoregressive Energy Machines
  ☆78Updated 2 years ago
• google-deepmind / mc_gradients
  ☆170Updated last year
• thegregyang / NNspectra
  Computing the eigenvalues of Neural Tangent Kernel and Conjugate Kernel (aka NNGP kernel) over the boolean cube
  ☆47Updated 5 years ago
• franrruiz / uivi
  Code for Unbiased Implicit Variational Inference (UIVI)
  ☆14Updated 6 years ago
• arranger1044 / probabilistic-circuits
  A curated collection of papers on probabilistic circuits, computational graphs encoding tractable probability distributions.
  ☆49Updated last year
• hardmaru / mdn_jax_tutorial
  Mixture Density Networks (Bishop, 1994) tutorial in JAX
  ☆60Updated 5 years ago
• karalets / TyXe
  Library for Bayesian Neural Networks in PyTorch (first version as published in ProbProg2020)
  ☆42Updated 3 years ago
• jxbz / madam
  👩 Pytorch and Jax code for the Madam optimiser.
  ☆51Updated 4 years ago
• KarenUllrich / binary-VAE
  A minimal implementation of a VAE with BinConcrete (relaxed Bernoulli) latent distribution in TensorFlow.
  ☆23Updated 5 years ago
• aiwabdn / pygln
  Python implementation of GLN in different frameworks
  ☆97Updated 4 years ago
• pyro-ppl / pyro-models
  Repository of models in Pyro
  ☆30Updated last year
• wjmaddox / drbayes
  Code Repo for "Subspace Inference for Bayesian Deep Learning"
  ☆83Updated last year
• IraKorshunova / bruno
  a deep recurrent model for exchangeable data
  ☆34Updated 5 years ago
• ericjang / nf-jax
  Normalizing Flows in Jax
  ☆107Updated 5 years ago
• mblondel / fenchel-young-losses
  Probabilistic classification in PyTorch/TensorFlow/scikit-learn with Fenchel-Young losses
  ☆188Updated last year
• CalculatedContent / ImplicitSelfRegularization
  Repo to accompany paper "Implicit Self-Regularization in Deep Neural Networks..."
  ☆45Updated 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 5 years ago
• tbrx / compiled-inference
  Train neural networks to use as SMC and importance sampling proposals
  ☆24Updated 7 years ago
• uber-research / Synthetic-Petri-Dish
  ☆42Updated 5 years ago
• cambridge-mlg / EinsumNetworks
  ☆53Updated 2 years ago
• henripal / sgld
  ☆59Updated 6 years ago
• wittawatj / kernel-mod
  NeurIPS 2018. Linear-time model comparison tests.
  ☆18Updated 5 years ago
• microsoft / vi-hds
  Variational inference for hierarchical dynamical systems
  ☆48Updated last year
• AlCorreia / GeFs
  Generative Forests in Python
  ☆35Updated 2 years ago
• willieneis / ProBO
  ProBO: Versatile Bayesian Optimization Using Any Probabilistic Programming Language
  ☆15Updated 6 years ago
• anirudh9119 / walkback_nips17
  Variational Walkback, NIPS'17
  ☆28Updated 7 years ago
• kyunghyuncho / backprop-kalman-filter
  ☆45Updated 5 years ago
• uber-research / GTN
  ☆78Updated 5 years ago
• microsoft / statopt
  Statistical adaptive stochastic optimization methods
  ☆32Updated 5 years ago