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Package Usage: pypi: mici

MCMC samplers based on simulating Hamiltonian dynamics on a manifold
12 versions
Latest release: almost 4 years ago
20 downloads last month

View more package details: https://packages.ecosyste.ms/registries/pypi.org/packages/mici

View more repository details: https://repos.ecosyste.ms/hosts/GitHub/repositories/matt-graham%2Fmici

Dependent Repos 2

thiery-lab/manifold_lifting
Accompanying code for 'Manifold lifting: scaling MCMC to the vanishing noise regime'
  • >=0.1.10 setup.py

Size: 6.18 MB - Last synced: 6 days ago - Pushed: 10 months ago

thiery-lab/manifold-mcmc-for-diffusions
Code accompanying the paper 'Manifold MCMC methods for Bayesian inference in a wide class of diffusion models'
  • ==0.1.10 requirements.txt
  • ==0.1.10 setup.py

Size: 12 MB - Last synced: 6 days ago - Pushed: 10 months ago

matt-graham/bayesian-logistic-regression
Bayesian logistic regression example notebooks
  • v0.2 requirements.txt

Size: 4.01 MB - Last synced: over 1 year ago - Pushed: over 1 year ago

007gzs/test
  • * requirements.txt

Size: 1.6 MB - Last synced: 5 months ago - Pushed: 5 months ago

willemvandenboom/cpmcmc
Repository with the code used for the paper "Unbiased approximation of posteriors via coupled particle Markov chain Monte Carlo" by Willem van den Boom, Ajay Jasra, Maria De Iorio, Alexandros Beskos and Johan G. Eriksson
  • ==0.1.10 environment.yml

Size: 41 KB - Last synced: 9 months ago - Pushed: over 2 years ago

thiery-lab/dais
Code used for the paper "Doubly Adaptive Importance Sampling" by Willem van den Boom, Andrea Cremaschi and Alexandre H. Thiery
  • ==0.1.5 environment.yml

Size: 246 KB - Last synced: 16 days ago - Pushed: 16 days ago