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All Projects → MFreidank → pysgmcmc

MFreidank / pysgmcmc

Licence: other
Bayesian Deep Learning with Stochastic Gradient MCMC Methods

Programming Languages

python
139335 projects - #7 most used programming language

Labels

tensorflowstochasticbayesian-inferencemcmcmarkov-chain-monte-carlo

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PYSGMCMC

Build Status Docs Coverage Codacy

PYSGMCMC is a Python framework for Bayesian Deep Learning that focuses on Stochastic Gradient Markov Chain Monte Carlo methods.

Features

  • Complex samplers as black boxes, computing the next sample with corresponding costs of any MCMC sampler is as easy as:
sample, cost = next(sampler)
  • Based on tensorflow that provides:
    • efficient numerical computation via data flow graphs
    • flexible computation environments (CPU/GPU support, desktop/server/mobile device support)
    • Linear algebra operations

Install

The quick way:

pip3 install git+https://github.com/MFreidank/pysgmcmc

Documentation

Our documentation can be found at http://pysgmcmc.readthedocs.io/en/latest/.

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