Bayesian machine learning

Implementation of various Bayesian machine learning methods.

Name		Name	Last commit message	Last commit date
Latest commit History 166 Commits
.gitignore		.gitignore
README.md		README.md
bayes-by-backprop.ipynb		bayes-by-backprop.ipynb
bayesian-neural-network.ipynb		bayesian-neural-network.ipynb
bnn-hierarchical-flax.ipynb		bnn-hierarchical-flax.ipynb
bocd-beta-bernoulli.ipynb		bocd-beta-bernoulli.ipynb
deep-kalman-filter.ipynb		deep-kalman-filter.ipynb
difussion-score-matching.ipynb		difussion-score-matching.ipynb
exponential-families-ekf.ipynb		exponential-families-ekf.ipynb
functional-prior-bnn.ipynb		functional-prior-bnn.ipynb
hbnn.py		hbnn.py
infinite-hmm.ipynb		infinite-hmm.ipynb
last-layer-bnn.ipynb		last-layer-bnn.ipynb
online-hmm.ipynb		online-hmm.ipynb
probabilistic-knn.ipynb		probabilistic-knn.ipynb
rvga-logreg.ipynb		rvga-logreg.ipynb
smc-mlp.ipynb		smc-mlp.ipynb
swag-bayesian-neural-network.ipynb		swag-bayesian-neural-network.ipynb
variational-autoencoders.ipynb		variational-autoencoders.ipynb
viking.py		viking.py

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