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Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.
bayes
python
pytorch
pytorch-cnn
bayesian-network
bayes-by-backprop
bayesian-convnets
bayesian-networks
image-recognition
variational-bayes
bayesian-inference
bayesian-statistics
variational-inference
bayesian-deep-learning
aleatoric-uncertainties
bayesian-neural-networks
convolutional-neural-networks
Created
2018-07-27
308 commits to master branch, last one 3 years ago
Deep probabilistic analysis of single-cell and spatial omics data
Created
2017-09-06
4,093 commits to main branch, last one 7 days ago
A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.
Created
2019-08-12
57 commits to master branch, last one 3 years ago
Complex-valued neural networks for pytorch and Variational Dropout for real and complex layers.
Created
2019-04-25
444 commits to master branch, last one 2 years ago
High-performance reactive message-passing based Bayesian inference engine
Created
2019-12-23
3,384 commits to main branch, last one a day ago
Official Pytorch code for (AAAI 2020) paper "Capsule Routing via Variational Bayes", https://arxiv.org/pdf/1905.11455.pdf
Created
2019-11-21
26 commits to master branch, last one 3 years ago
Single-cell Hierarchical Poisson Factorization
Created
2018-07-03
263 commits to master branch, last one 3 years ago