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A statistical machine learning tutorial explaining key generative models like diffusion, energy-based, VAE, and GAN models with intuitive analogies.
A Julia package providing fast, general-purpose Markov Chain Monte Carlo (MCMC) samplers for Bayesian modeling with a unified interface.
A Julia framework for MCMC sampling and optimization with automatic gradient generation for user-defined models.
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