133 Open source projects that are alternatives of or similar to bayseg

Bayesian inference for Gaussian mixture model with some novel algorithms

Machine learning, in numpy

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

A Reddit bot that generates new context-aware comments using Markov chains trained from a set of given users or subreddits comments history.

The base NIMBLE package for R

🦜 DISCOTRESS 🦜 is a software package to simulate and analyse the dynamics on arbitrary Markov chains

A Markov chain Discord chat bot. Generates unique messages by learning from past messages. Also occasionally attaches images to messages.

Statistical Rethinking with PyTorch and Pyro

Improved Fisher Vector Implementation- extracts Fisher Vector features from your data

Notebooks about Bayesian methods for machine learning

An Active Automata Learning Library Written in Python

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 ;)

Markov Chains and Hidden Markov Models in Python

Takes tweets from a bot's followings and markovifies them. Ruby port of sneaksnake/timeline

Data Assimilation with Python: a Package for Experimental Research

This VAD library can process audio in real-time utilizing GMM which helps identify presence of human speech in an audio sample that contains a mixture of speech and noise.

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

A sharing of the learning process of mathematical modeling 数学建模常用工具模型算法分享：数学建模竞赛优秀论文，数学建模常用算法模型，LaTeX论文模板，SPSS工具分享。

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

Statistical Rethinking course in pymc3

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

Text Generation using Markov Chains fed by 4chan APIs

Bayesian methods in deep learning Summer School

Project 4 for Metis bootcamp. Objective was generation of character-level RNN trained on Donald Trump's statements using Keras. Also generated Markov chains, and quick pyTorch RNN as baseline. Attempted semi-supervised GAN, but was unable to test in time.

A collection of Bayesian data analysis recipes using PyMC3

A web app that uses Markov chains to generate pseudorandom words.

Probabilistic reasoning and statistical analysis in TensorFlow

Reinforcement learning (RL) implementation of imperfect information game Mahjong using markov decision processes to predict future game states

BayesianNonparametrics in julia

C99 modular IRC bot with markov chains

Generates new porn descriptions based on an edited dataset of xhamster video descriptions uploaded between 2007-2016.

🚂 Python API for Emma's Markov Model Algorithms 🚂

A dynamic microsimulation framework for python

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.

Script to plot 2D electrical resistivity tomography (ERT) data with much more versatility than RES2DINV allows.

shinystan R package and ShinyStan GUI

A simple/fast/accurate accent prediction for non-accented Vietnamese text

Probabilistic Inference on Noisy Time Series

Это самый лучший женобот на этой планете // Нейросеть феминистка

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 simple Markov chains lyric generator written in Python.

A Java Toolbox for Scalable Probabilistic Machine Learning

Microscopic Markov Chain Approach to model the spreading of COVID-19

A Python package for building Bayesian models with TensorFlow or PyTorch

A framework for data-driven stochastic disease spread simulations

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

Twitch Bot for generating messages based on what it learned from chat

Course on data assimilation (DA)

Markov chain generator for Python and/or Swift

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

Markovify wrapper for R

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

Fork of PyBorg AI bot for cutie578 on EFNet

A simple probabilistic programming language.

Clustering with variational Bayes and population Monte Carlo

rstanarm R package for Bayesian applied regression modeling

Yet another markov chain sentence generator

Additional material for computational geophysics course

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

Files for my Nonlinear Systems and Controls class.