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Implementation of: Kristiadi, Agustinus, and Asja Fischer. "Predictive Uncertainty Quantification with Compound Density Networks." (2019).
Collection of algorithms for approximating Fisher Information Matrix for Natural Gradient (and second order method in general)
Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.
Collection of probabilistic models and inference algorithms
Collection of Monte Carlo (MC) and Markov Chain Monte Carlo (MCMC) algorithms applied on simple examples.
All the hipster things in Neural Net in a single repo
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