Liang Zhongyao's repositories
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
Language:Python000
BayesVarSel
BayesVarSel: R package to calculate Bayes factors, model choice and variable selection in linear models
Language:C000
skccm
Convergent Cross Mapping in Scikit Learn's style
MIT000
limnology_models_data
Models and datasets for Limnology
lstm
Minimal, clean example of lstm neural network training in python, for learning purposes.
Language:Python000
DataScienceR
a curated list of R tutorials for Data Science, NLP and Machine Learning
Language:RMIT000
awesome-bayesian-deep-learning
A curated list of resources dedicated to bayesian deep learning
000
BayesianRNN
Code for the paper "A Theoretically Grounded Application of Dropout in Recurrent Neural Networks"
Language:LuaMIT000