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pbnn 0.0.1 documentation
pbnn 0.0.1 documentation

Getting started

  • Install guide

API Documentation

  • Examples
    • Analytical functions
    • Training a network: Flax vs PyTorch
    • Stochastic gradient Langevin dynamics
    • Illustration of several algorithms
    • Thinning MCMC outputs
    • Conformal prediction with Flax and MAPIE
    • Laplace approximations
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ExamplesΒΆ

You can find here all basic detailed examples.

  • Analytical functions
  • Training a network: Flax vs PyTorch
  • Stochastic gradient Langevin dynamics
  • Illustration of several algorithms
  • Thinning MCMC outputs
  • Conformal prediction with Flax and MAPIE
  • Laplace approximations
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Analytical functions
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Install guide
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