单细胞和空间组学数据的深度概率分析
variational-bayes 开源项目推荐(69 个)
variational-bayes 话题在 GitHub 上没有填写简介,这里按 Star 数汇总最相关的热门仓库。
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按 Star 数排序展示前 20 个 · GitHub 共 69 个仓库Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.
A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.
Tensorflow Implementation of Knowledge-Guided CVAE for dialog generation ACL 2017. It is released by Tiancheng Zhao (Tony) from Dialog Research Center, LTI, CMU
Complex-valued neural networks for pytorch and Variational Dropout for real and complex layers.
An extensible C++ library of Hierarchical Bayesian clustering algorithms, such as Bayesian Gaussian mixture models, variational Dirichlet processes, Gaussian latent Dirichlet allocation and more.
High-performance reactive message-passing based Bayesian inference engine
Official Pytorch code for (AAAI 2020) paper "Capsule Routing via Variational Bayes", https://arxiv.org/pdf/1905.11455.pdf
MLSS2019 Tutorial on Bayesian Deep Learning
Single-cell Hierarchical Poisson Factorization
Clustering with variational Bayes and population Monte Carlo
Dimensionality reduction of spikes trains
Variational Bayes linear and logistic regression
Model for learning document embeddings along with their uncertainties
A simple library to run variational inference on Stan models.
Scalable sparse Bayesian learning for large CS recovery problems
Low-variance, efficient and unbiased gradient estimation for optimizing models with binary latent variables. (ICLR 2019)
A study on the following problems: what the memorization problem is in meta-learning; why memorization problem happens; and how we can prevent it. (ICLR 2020)
This repository is for sharing the scripts of EM algorithm and variational bayes.
A toolbox for inference of mixture models
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