172 Open source projects that are alternatives of or similar to rss

Boltzmann Machines in TensorFlow with examples

Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more

Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Aesara

The base NIMBLE package for R

Automatic Reparameterisation of Probabilistic Programs

shinystan R package and ShinyStan GUI

CmdStanR: the R interface to CmdStan

DGMs for NLP. A roadmap.

Bayesian methods in deep learning Summer School

Using neural network to build expressive hierarchical distribution; A variational method to accurately estimate posterior uncertainty; A fast and general method for Bayesian inference. (ICML 2018)

A common framework for implementing and using log densities for inference.

GPstuff - Gaussian process models for Bayesian analysis

Collection of probabilistic models and inference algorithms

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.

DynamicHMC versions of StatisticalRethinking models

Implementation of robust dynamic Hamiltonian Monte Carlo methods (NUTS) in Julia.

Probabilistic Inference on Noisy Time Series

Bayesian nowcasting with adjustment for delayed and incomplete reporting to estimate COVID-19 infections in the United States

The sample question for Interview a job in Binary options

Personal project to compare hierarchical linear regression in PyMC3 and PyStan, as presented at http://pydata.org/london2016/schedule/presentation/30/ video: https://www.youtube.com/watch?v=Jb9eklfbDyg

A Java Toolbox for Scalable Probabilistic Machine Learning

Statistical Rethinking course in pymc3

A Python package for building Bayesian models with TensorFlow or PyTorch

Julia package for automatically generating Bayesian inference algorithms through message passing on Forney-style factor graphs.

Markov chain Monte Carlo solver for lattice spin systems implemented by Julialang

Demultiplexing pooled scRNA-seq data with or without genotype reference

Single-cell copy number calling and event history reconstruction.

Course on data assimilation (DA)

Data Assimilation with Python: a Package for Experimental Research

An unsupervised machine learning algorithm for the segmentation of spatial data sets.

Bayesian mixture models for estimating and clustering cancer cell fractions

An easy-to-use interface for measuring uncertainty and robustness.

An R package to manipulate MCMC samples

Statistical Rethinking with PyTorch and Pyro

Bayesian Generalized Linear Models with Time-Varying Coefficients

loo R package for approximate leave-one-out cross-validation (LOO-CV) and Pareto smoothed importance sampling (PSIS)

Multiagent reinforcement learning simulation framework - Undergraduate thesis in Mechatronics Engineering at the University of Brasília

A statistical toolbox for diffusion processes and stochastic differential equations. Named after the Brownian Bridge.

PyMC3 codes of Lee and Wagenmakers' Bayesian Cognitive Modeling - A Pratical Course

PyTorch implementation of normalizing flow models

Notebooks about Bayesian methods for machine learning

Code for "Depth Uncertainty in Neural Networks" (https://arxiv.org/abs/2006.08437)

Rank-normalization, folding, and localization: An improved R-hat for assessing convergence of MCMC

A Python package for gene network analysis

A probabilistic programming language in TensorFlow. Deep generative models, variational inference.

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

A web interface for exploring PyMC3 traces

A collection of Bayesian data analysis recipes using PyMC3

Bayesian Deep Learning with Stochastic Gradient MCMC Methods

A simple probabilistic programming language.

Probabilistic reasoning and statistical analysis in TensorFlow

Latent Dirichlet Allocation

Blang's software development kit

Know Your Boundaries: Constraining Gaussian Processes by Variational Harmonic Features

rstanarm R package for Bayesian applied regression modeling

High-quality implementations of standard and SOTA methods on a variety of tasks.

GeneSCF moved to a dedicated GitHub page, https://github.com/genescf/GeneSCF

🐢 bayesAB: Fast Bayesian Methods for A/B Testing

Equilibrium Expectation for ERGM parameter estimation for large directed networks

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