PusH Documentation

This is documentation for the PusH library.

Note

PusH and these docs are under active development. Use at your own risk.

Quick Start

• Quick Start Installation Guide

Tutorials

• Bayesian Deep Learning in Push
  • Introduction
  • Defining Models in Push with Particles
  • Training Models in Push
  • Testing the Model
  • Particle Scaling
  • References
• Uncertainty Quantification

Examples

• Bayesian Deep Learning
  • Bayesian Deep Learning in Push
  • Deep Ensemble (MNIST)
  • Deep Ensemble (Toy)
  • MC Dropout
  • Multi-SWAG
  • Stein Variational Gradient Descent
• Datasets
  • MNIST Dataset
  • Toy Dataset
  • Two Moons

Package Reference

• push.bayes
  • push.bayes.ensemble
  • push.bayes.infer
  • push.bayes.stein_vgd
  • push.bayes.swag
  • push.bayes.utils
• push.particle
  • Particle
  • ParticleView
• push.pfuture
  • PFuture
• push.push
  • PusH
  • init_node_event_loop()

Advanced Package Reference

• push.lib
  • push.lib.context_switch
  • push.lib.messages
  • push.lib.node_event_loop
  • push.lib.utils
  • push.lib.waitable