Deep_probablistic_model

implement deep probablistic models based on Edward (probabilistic modeling, inference, and criticism)

Name		Name	Last commit message	Last commit date
Latest commit History 33 Commits
.idea		.idea
graphs		graphs
log		log
log／beta_bernoulli		log／beta_bernoulli
.gitattributes		.gitattributes
.gitignore		.gitignore
Bayesian_nn.py		Bayesian_nn.py
Bayesian_rnn.py		Bayesian_rnn.py
Bayesian_var_rnn.ipynb		Bayesian_var_rnn.ipynb
Bayesian_var_rnn.py		Bayesian_var_rnn.py
Beta-Bernoulli.py		Beta-Bernoulli.py
Cox_model.py		Cox_model.py
Deep-GP.py		Deep-GP.py
Edward_Bayes_regression.ipynb		Edward_Bayes_regression.ipynb
Edward_Bayesian_rnn.ipynb		Edward_Bayesian_rnn.ipynb
Edward_GP_classification.ipynb		Edward_GP_classification.ipynb
Edward_LSTM.ipynb		Edward_LSTM.ipynb
Edward_Shared_ProbablisticPCA.ipynb		Edward_Shared_ProbablisticPCA.ipynb
Edward_Stochastic_rnn.ipynb		Edward_Stochastic_rnn.ipynb
Edward_Unsupervised_learning.ipynb		Edward_Unsupervised_learning.ipynb
Factor_analysis.py		Factor_analysis.py
GPLVM_ed.ipynb		GPLVM_ed.ipynb
LICENSE		LICENSE
LSTM.py		LSTM.py
Probablistic_RNN.ipynb		Probablistic_RNN.ipynb
README.md		README.md
Shared-LVM.py		Shared-LVM.py
State_space_model.py		State_space_model.py
VAE.py		VAE.py
VAE_DavidZ.ipynb		VAE_DavidZ.ipynb
VAE_RogerS.ipynb		VAE_RogerS.ipynb
VAE_mshvartsman.ipynb		VAE_mshvartsman.ipynb
__init__.py		__init__.py
data.py		data.py
data_mnist.py		data_mnist.py
syn.mat		syn.mat
vrnn_tf.ipynb		vrnn_tf.ipynb
vrnn_tf_v2.ipynb		vrnn_tf_v2.ipynb
vrnn_tf_v4.ipynb		vrnn_tf_v4.ipynb