207 Open source projects that are alternatives of or similar to viabel

We got a stew going!

Demultiplexing pooled scRNA-seq data with or without genotype reference

Deodorant: Solving the problems of Bayesian Optimization

Lagrangian VAE

This repository contains morden baysian statistics and deep learning based research articles , software for survival analysis

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Library of composable generative population models which serve as the modeling and inference backend of BayesDB.

Deep active inference agents using Monte-Carlo methods

Bayesian Model Averaging for Random and Fixed Effects Meta-Analysis

Automatic feature engineering using deep learning and Bayesian inference using TensorFlow.

PyRate is a program to estimate speciation, extinction, and preservation rates from fossil occurrence data using a Bayesian framework.

Forecasting 🇫🇷 elections with Bayesian statistics 🥳

Single-cell copy number calling and event history reconstruction.

Repository for DTU Special Course, focusing on Variational Inference using Normalizing Flows (VINF). Supervised by Michael Riis Andersen

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Sequential Monte Carlo algorithm for approximation of posterior distributions.

Scalable sparse Bayesian learning for large CS recovery problems

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Parallel nested sampling

Fast inference for Gaussian processes in problems involving time. Partly built on results from https://proceedings.mlr.press/v161/tebbutt21a.html

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Probabilistic programming via source rewriting

Noisy network measurement with stan

R-package for interpretable nonparametric modeling of longitudinal data using additive Gaussian processes. Contains functionality for inferring covariate effects and assessing covariate relevances. Various models can be specified using a convenient formula syntax.

Abstractive opinion summarization system (SelSum) and the largest dataset of Amazon product summaries (AmaSum). EMNLP 2021 conference paper.

MrBayes is a program for Bayesian inference and model choice across a wide range of phylogenetic and evolutionary models. For documentation and downloading the program, please see the home page:

Master Thesis on Bayesian Convolutional Neural Network using Variational Inference

Full Bayesian Inference for Hidden Markov Models

A toy model of Friston's active inference in Tensorflow

ELFI - Engine for Likelihood-Free Inference

Machine Learning - accelerated Bayesian inference

Stan development repository. The master branch contains the current release. The develop branch contains the latest stable development. See the Developer Process Wiki for details.

The Trendiness of Trends

CmdStanR: the R interface to CmdStan

Simulation-based inference in PyTorch

UAI 2015. Kernel-based just-in-time learning for expectation propagation

An extensible C++ library of Hierarchical Bayesian clustering algorithms, such as Bayesian Gaussian mixture models, variational Dirichlet processes, Gaussian latent Dirichlet allocation and more.

Multi-core BUGS for fast Bayesian inference of large hierarchical models

A bare-bones TensorFlow framework for Bayesian deep learning and Gaussian process approximation

A tensorflow implementation of the NIPS 2018 paper "Variational Inference with Tail-adaptive f-Divergence"

Sequential Monte Carlo in python

Code for "Functional variational Bayesian neural networks" (https://arxiv.org/abs/1903.05779)

Generalized linear mixed-effect model in Python

Pure julia implementation of Multiple Affine Invariant Sampling for efficient Approximate Bayesian Computation

Data-driven Network-based Bayesian Inference of Drivers

A didactic Gaussian process package for researchers in Jax.

Fast & scalable MCMC for all your exoplanet needs!

TAPAS - Translational Algorithms for Psychiatry-Advancing Science

PixelVAE with or without regularization

Infer the gender of an individual based on their name.

Regression with Summary Statistics.

Statistical Rethinking with PyTorch and Pyro

AI Learning Hub for Machine Learning, Deep Learning, Computer Vision and Statistics

Code for "A-NICE-MC: Adversarial Training for MCMC"

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Repo for the Tutorials of Day1-Day3 of the Nordic Probabilistic AI School 2021 (https://probabilistic.ai/)