GitHub - shehel/Bayesian_Learning: Probabilistic programming

GP Regression: Introduction to Gaussian processes with a regression problem using PyMC3 PPL.
MC Dropout: Uncertainty estimates usng dropout.
Bayesian CNN: Implementing a Bayesian CNN for classification using variational inference and MNIST with Edward PPL. Includes uncertainty estimation on nMNIST.
Bayesian Regression with Neural Networks: Non-linear regression with neural networks using Variational Inference. Compares working with VI in Edward and PyMC3 PPLs

Name		Name	Last commit message	Last commit date
Latest commit History 14 Commits
data		data
GP_regression.ipynb		GP_regression.ipynb
MC_dropout.ipynb		MC_dropout.ipynb
README.md		README.md
bayesian_CNN_mnist.ipynb		bayesian_CNN_mnist.ipynb
bayesian_neuralReg.ipynb		bayesian_neuralReg.ipynb
bayesian_regression.ipynb		bayesian_regression.ipynb
hello_bayesian.ipynb		hello_bayesian.ipynb

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