252 Open source projects that are alternatives of or similar to Beast2

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

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

Machine learning, in numpy

Evolutionary Algorithms Framework

Continuous Unix commit history from 1970 until today

This contains a number of IP[y]: Notebooks that hopefully give a light to areas of bayesian machine learning.

Modular Probabilistic Programming on MXNet

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:

Deep universal probabilistic programming with Python and PyTorch

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

Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.

Statistical Rethinking with PyTorch and Pyro

Owl - OCaml Scientific and Engineering Computing @ http://ocaml.xyz

Gathers Machine learning models using pure Numpy to cover feed-forward, RNN, CNN, clustering, MCMC, timeseries, tree-based, and so much more!

A repository to keep track of all the code that I end up writing for my blog posts.

Probabilistic programming framework that facilitates objective model selection for time-varying parameter models.

ggplot2 extension for plotting distributions

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

How to do Bayesian statistical modelling using numpy and PyMC3

A collection of Bayesian data analysis recipes using PyMC3

Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.

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

NIPS 2017: ALICE: Towards Understanding Adversarial Learning for Joint Distribution Matching

solution of exercises of the book "probabilistic robotics"

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

An interactive ecosystem and evolution simulator written in C and OpenGL, for GNU/Linux.

The posterior R package

Bitmap generation from a single example with convolutions and MCMC

Expressions and dataframes with statistical details 📉 📜🔣✅

Robust, modular and efficient implementation of advanced Hamiltonian Monte Carlo algorithms

Paper Reading

The bookdown version lives here: https://bookdown.org/content/3890

Use MCMC to analyze districting plans and gerrymanders

Variational autoencoders for collaborative filtering

General-Purpose MCMC and SMC Samplers and Tools for Bayesian Statistics

Backend is responsible to provide data to EVOlution App - iOS

Evolving version of Conway’s Game of Life.

Python package facilitating the use of Bayesian Deep Learning methods with Variational Inference for PyTorch

A method for variant graph genotyping based on exact alignment of k-mers

Fast and Easy Infinite Neural Networks in Python

rstanarm R package for Bayesian applied regression modeling

The Python ensemble sampling toolkit for affine-invariant MCMC

SharpNEAT - Evolution of Neural Networks. A C# .NET Framework.

bayesplot R package for plotting Bayesian models

Deep Learning over PyTorch

Code and data to create a git repository representing the Unix source code history

nway -- Bayesian cross-matching of astronomical catalogues

An interesting display of evolution through neural networks and a genetic algorithm

Variational Bayesian Monte Carlo (VBMC) algorithm for posterior and model inference in MATLAB

A qualitative probabilistic programming language based on ranking theory

Solve multi-objective optimization problems with distributed evolutionary algorithms

Documentation, models and code relating to the 3rd edition of the textbook Stochastic Modelling for Systems Biology

Automatic Reparameterisation of Probabilistic Programs

BlackJAX is a sampling library designed for ease of use, speed and modularity.

Archaeopteryx.js is a software tool for the visualization and analysis of highly annotated phylogenetic trees.

Implementing MCMC sampling from scratch in R for various Bayesian models

Bayes by Backprop implemented in a CNN in PyTorch

Python package for learning the graphical structure of Bayesian networks, parameter learning, inference and sampling methods.

The Microbiome Interpretable Temporal Rule Engine

nessai: Nested Sampling with Artificial Intelligence