liangzhongyao

A-Bayesian-Change-Point-Model-for-Quantile-Regression-in-JAGS

pyEDM

Python EDM package interface to cppEDM

mlrMBO

Toolbox for Bayesian Optimization and Model-Based Optimization in R

BayesianOptimization

A Python implementation of global optimization with gaussian processes.

LSTM-Neural-Network-for-Time-Series-Prediction

LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data

BayesVarSel

BayesVarSel: R package to calculate Bayes factors, model choice and variable selection in linear models

skccm

Convergent Cross Mapping in Scikit Learn's style

limnology_models_data

Models and datasets for Limnology

lstm

Minimal, clean example of lstm neural network training in python, for learning purposes.

DataScienceR

a curated list of R tutorials for Data Science, NLP and Machine Learning

awesome-bayesian-deep-learning

A curated list of resources dedicated to bayesian deep learning

BayesianRNN

Code for the paper "A Theoretically Grounded Application of Dropout in Recurrent Neural Networks"