Hmc Collection

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🔮Psychic

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“Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.”

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📦Normal

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“Bayesian inference with probabilistic programming.”

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📦Normal

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“Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more”

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📦Normal

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“PyTorch-based library for Riemannian Manifold Hamiltonian Monte Carlo (RMHMC) and inference in Bayesian neural networks”

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📦Normal

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“Robust, modular and efficient implementation of advanced Hamiltonian Monte Carlo algorithms”

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🔮Psychic

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“Manifold Markov chain Monte Carlo methods in Python”

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🔥Fire

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“A C++ library of Markov Chain Monte Carlo (MCMC) methods”

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📦Normal

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“A native Julia code for lattice QCD with dynamical fermions in 4 dimension.”

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📦Normal

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“Bayesian Generalized Linear models using `@formula` syntax.”

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📦Normal

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“Application of the L2HMC algorithm to simulations in lattice QCD.”

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📦Normal

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“A primer on Bayesian Neural Networks. The aim of this reading list is to facilitate the entry of new researchers into the field of Bayesian Deep Learning, by providing an overview of key papers. More details: "A Primer on Bayesian Neural Networks: Review and Debates"”

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🔮Psychic

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“A lightweight and performant implementation of HMC and NUTS in Python, spun out of the PyMC project.”

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🔮Psychic

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“Lightweight MCMC sampling for PyTorch Models aka My Corona Project”