Alternatives and similar repositories for SIVI

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

• mingzhang-yin / ARM-gradient

  View on GitHub
  Low-variance, efficient and unbiased gradient estimation for optimizing models with binary latent variables. (ICLR 2019)
  ☆27Mar 9, 2019Updated 6 years ago
• ARM-gradient / ARSM

  View on GitHub
  Low-variance and unbiased gradient for backpropagation through categorical random variables, with application in variational auto-encoder…
  ☆17Jul 1, 2020Updated 5 years ago
• ermongroup / a-nice-mc

  View on GitHub
  Code for "A-NICE-MC: Adversarial Training for MCMC"
  ☆125Jul 20, 2018Updated 7 years ago
• thjashin / spectral-stein-grad

  View on GitHub
  Code for "A Spectral Approach to Gradient Estimation for Implicit Distributions" (ICML'18)
  ☆34May 11, 2023Updated 2 years ago
• mingyuanzhou / GBN

  View on GitHub
  Gamma Belief Networks
  ☆12Mar 2, 2018Updated 7 years ago
• otokonoko8 / implicit-variational-inference

  View on GitHub
  The collection of recent papers about variational inference
  ☆84Nov 6, 2019Updated 6 years ago
• joelouismarino / iterative_inference

  View on GitHub
  Implementation of iterative inference in deep latent variable models
  ☆43Aug 21, 2019Updated 6 years ago
• dilinwang820 / adaptive-f-divergence

  View on GitHub
  A tensorflow implementation of the NIPS 2018 paper "Variational Inference with Tail-adaptive f-Divergence"
  ☆20Jan 11, 2019Updated 7 years ago
• HanxiSun / SteinNS

  View on GitHub
  code for Stein Neural Sampler
  ☆23Oct 11, 2018Updated 7 years ago
• Runjing-Liu120 / RaoBlackwellizedSGD

  View on GitHub
  A public repository for our paper, Rao-Blackwellized Stochastic Gradients for Discrete Distributions
  ☆22May 5, 2019Updated 6 years ago
• fangleai / Implicit-LVM

  View on GitHub
  This code repository presents the pytorch implementation of the paper “Implicit Deep Latent Variable Models for Text Generation”(EMNLP 20…
  ☆55Mar 11, 2022Updated 3 years ago
• mingzhang-yin / Meta-learning-without-memorization

  View on GitHub
  A study on the following problems: what the memorization problem is in meta-learning; why memorization problem happens; and how we can pr…
  ☆21Mar 24, 2023Updated 2 years ago
• artemyk / ibcurve

  View on GitHub
  ☆10Feb 19, 2019Updated 6 years ago
• ericjang / variance_reduction

  View on GitHub
  Implementation of Variance Reduction Techniques in Julia
  ☆11Sep 6, 2016Updated 9 years ago
• chriscremer / Inference-Suboptimality

  View on GitHub
  Code for 'Inference Suboptimality in Variational Autoencoders'
  ☆10May 22, 2020Updated 5 years ago
• ssydasheng / FBNN

  View on GitHub
  Code for "Functional variational Bayesian neural networks" (https://arxiv.org/abs/1903.05779)
  ☆86Jul 19, 2020Updated 5 years ago
• ssydasheng / Neural-Kernel-Network

  View on GitHub
  Code for "Differentiable Compositional Kernel Learning for Gaussian Processes" https://arxiv.org/abs/1806.04326
  ☆71Jul 10, 2018Updated 7 years ago
• lisa-lab / GSN

  View on GitHub
  Efficient implementation of Generative Stochastic Networks
  ☆12Nov 28, 2013Updated 12 years ago
• tgangwani / GuidanceRewards

  View on GitHub
  Pytorch code for "Learning Guidance Rewards with Trajectory-space Smoothing" (NeurIPS 2020)
  ☆12Jul 7, 2021Updated 4 years ago
• AdamCobb / LCBNN

  View on GitHub
  ☆25Aug 11, 2022Updated 3 years ago
• jmtomczak / vae_vampprior

  View on GitHub
  Code for the paper "VAE with a VampPrior", J.M. Tomczak & M. Welling
  ☆233May 6, 2018Updated 7 years ago
• ex4sperans / variational-inference-with-normalizing-flows

  View on GitHub
  Reimplementation of Variational Inference with Normalizing Flows (https://arxiv.org/abs/1505.05770)
  ☆244Sep 3, 2018Updated 7 years ago
• rgiordan / CovariancesRobustnessVBPaper

  View on GitHub
  ☆12Jul 16, 2023Updated 2 years ago
• gd-zhang / noisy-K-FAC

  View on GitHub
  Natural Gradient, Variational Inference
  ☆29Jan 13, 2020Updated 6 years ago
• dmivilensky / Wasserstein-distance-calculation

  View on GitHub
  Optimal Transport and Optimization related experiments.
  ☆10Jul 22, 2018Updated 7 years ago
• Roth-Lab / pgsm

  View on GitHub
  ☆12May 12, 2025Updated 9 months ago
• changliu00 / FGH-flow

  View on GitHub
  Codes for "Understanding MCMC Dynamics as Flows on the Wasserstein Space" (ICML-19)
  ☆12Nov 17, 2019Updated 6 years ago
• aam-at / adversary_critic

  View on GitHub
  ☆13Jun 24, 2020Updated 5 years ago
• trevorcampbell / bayesian-coresets

  View on GitHub
  Automated Scalable Bayesian Inference
  ☆131Jan 16, 2022Updated 4 years ago
• SheffieldML / GPclust

  View on GitHub
  Collapsed Variational Bayes
  ☆72Sep 27, 2019Updated 6 years ago
• YingzhenLi / vae_renyi_divergence

  View on GitHub
  A tensorflow implementation of VAE training with Renyi divergence
  ☆31Sep 14, 2016Updated 9 years ago
• xjtuygao / VGrow

  View on GitHub
  VGrow for deep generative learning
  ☆12Feb 1, 2019Updated 7 years ago
• pawni / BayesByHypernet

  View on GitHub
  Code for the paper Implicit Weight Uncertainty in Neural Networks
  ☆65Nov 14, 2019Updated 6 years ago
• cunningham-lab / igr

  View on GitHub
  ☆30Oct 26, 2020Updated 5 years ago
• yzhwang / jax-multi-gpu-resnet50-example

  View on GitHub
  An example showing how to use jax to train resnet50 on multi-node multi-GPU
  ☆20Jul 4, 2022Updated 3 years ago
• shaobohan / VariationalGaussianCopula

  View on GitHub
  Matlab Code for Variational Gaussian Copula Inference
  ☆16Mar 15, 2016Updated 9 years ago
• NingMiao / InteL-VAEs

  View on GitHub
  Codes for paper <InteL-VAEs: Adding Inductive Biases to VariationalAuto-Encoders via Intermediary Latents>.
  ☆18Jun 25, 2021Updated 4 years ago
• lipiji / variational-autoencoder-theano

  View on GitHub
  Variational Autoencoders (VAEs) in Theano for Images and Text
  ☆54Jan 18, 2018Updated 8 years ago
• danilkuzin / GP-EnKF

  View on GitHub
  Implementation of the Gaussian processes regression with inducing points for online data with ensemble Kalman filter estimation. Code for…
  ☆17Jul 9, 2018Updated 7 years ago