Codebase for fast prototyping of statistical learning applications
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06_EM_for_GMM
Estimate Gaussian Mixture Model using Expectation-Maximization.
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07_Bayesian_Optimization
Iterative estimation using Gaussian Process and Bayesian Optimization for automatic hyper-parameter tuning.
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08_Markov_Chain_Monte_Carlo
Point and confidence interval estimation for model parameters using Metropolis-Hasting & Hamiltonian Monte Carlo
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09_variational_auto_encoder
Implement variational auto-encoder and conditional variational auto-encoder. Let Bayesian methods meet deep learning!