Variational Inference On Mnist

A list of variational inference algorithms and their performance on MNIST
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Project NameStarsDownloadsRepos Using ThisPackages Using ThisMost Recent CommitTotal ReleasesLatest ReleaseOpen IssuesLicenseLanguage
Bayesian Neural Networks1,633
6 months ago5mitJupyter Notebook
Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more
Boltzmann Machines792
2 years ago11mitJupyter Notebook
Boltzmann Machines in TensorFlow with examples
Variational Ladder Autoencoder198
6 years ago1Python
Implementation of VLAE
Tensorflow Mnist Cvae134
7 years ago2Python
Tensorflow implementation of conditional variational auto-encoder for MNIST
Noisynaturalgradient115
6 years ago3Python
Pytorch Implementation of paper "Noisy Natural Gradient as Variational Inference"
Bayesbyhypernet55
4 years ago1Jupyter Notebook
Code for the paper Implicit Weight Uncertainty in Neural Networks
Mongeampereflow20
6 years ago1Python
Continuous-time gradient flow for generative modeling and variational inference
Haskell Vae17
4 years agootherHaskell
Learning about Haskell with Variational Autoencoders
Uivi12
5 years agomitMATLAB
Code for Unbiased Implicit Variational Inference (UIVI)
Mim10
4 years ago1mitPython
Code for "MIM: Mutual Information Machine" paper.
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