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Projects in Awesome Lists tagged with langevin-dynamics
A curated list of projects in awesome lists tagged with langevin-dynamics .
https://github.com/javierantoran/bayesian-neural-networks
Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more
approximate-inference bayes-by-backprop bayesian-inference bayesian-neural-networks classification deep-learning hmc kronecker-factored-approximation langevin-dynamics local-reparametrization-trick mc-dropout mcmc out-of-distribution-detection pytorch regression reproducible-research sgld uncertainty uncertainty-neural-networks variational-inference
Last synced: 30 Sep 2024
https://github.com/JavierAntoran/Bayesian-Neural-Networks
Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more
approximate-inference bayes-by-backprop bayesian-inference bayesian-neural-networks classification deep-learning hmc kronecker-factored-approximation langevin-dynamics local-reparametrization-trick mc-dropout mcmc out-of-distribution-detection pytorch regression reproducible-research sgld uncertainty uncertainty-neural-networks variational-inference
Last synced: 02 Aug 2024
https://github.com/SHI-Yu-Zhe/generative-modeling-explained
Ying Nian Wu's UCLA Statistical Machine Learning Tutorial on generative modeling.
adversarial-learning bayesian-inference diffusion-model energy-based-model equilibrium-sampling generative-modeling langevin-dynamics mcmc-sampling non-equilibrium-sampling score-based-generative-modeling variational-inference
Last synced: 04 Aug 2024
https://github.com/IdahoLabResearch/BIhNNs
The code enables to perform Bayesian inference in an efficient manner through the use of Hamiltonian Neural Networks (HNNs), Deep Neural Networks (DNNs), Neural ODEs, and Symplectic Neural Networks (SympNets) used with state-of-the-art sampling schemes like Hamiltonian Monte Carlo (HMC) and the No-U-Turn-Sampler (NUTS).
bayesian-inference hamiltonian-monte-carlo langevin-dynamics neural-networks no-u-turn-sampler physics-informed-neural-networks sampling-methods
Last synced: 31 Jul 2024