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beanmachine

A library that allows for inference on probabilistic models

bhmm

Bayesian hidden Markov models toolkit

catboost

A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.

catboost-viewer

Standalone application for plotting charts with different training statistics in a browser.

causalai

Salesforce CausalAI Library: A Fast and Scalable framework for Causal Analysis of Time Series and Tabular Data

egu2020_oceans

fault-tree-python

Using Monte Carlo method to find a minimal cut set (MCS) for a fault tree.

hidden-markov-models-pymc3

Implementation of Hidden Markov Models in pymc3

hiddenmarkovmodel

Code for the Hidden Markov Model Tutorial Series

hiddenmarkovmodel_pytorch

Pytorch: Viterbi, Forward-Backward and Baum Welch with a Hidden Markov Model (HMM)

hierarchical-hidden-markov-model

Matlab Implementation of "The Hierarchical Hidden Markov Model: Analysis and Applications"

natural-language-processing

Resources for "Natural Language Processing" Coursera course.

probabilistic-programming-and-bayesian-methods-for-hackers

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 ;)

pybnbowtie

Mapping of bow-tie analysis in Open-PSA MEF format to Bayesian network. Implementation of the algorithm presented by Khakzad et al, 2013.

pymc3

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

pyro-models

Repository of models in Pyro

storm

A Modern Probabilistic Model Checker

survival-analysis-intuition-implementation-in-python

Quick Implementation in python

survival_analysis

Survival Analysis with non-parametric, semi-parametric, and parametric models

tutorials

CatBoost tutorials repository