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Guide

  • Installation
  • Motivations and Goals
  • Basic examples
    • 1. Toy dataset
    • 2. DeepEnsemble 1
    • 3. DeepEnsemble 2
    • 4. SWAG
    • 5. MultiSWAG
    • 6. Orthonormal Certificates

Features

  • Model
    • GaussianRegression
    • Custom Layers
      • Dense2Dto3D
      • Dense3Dto3D
      • Dense3Dto2D
      • Dense3Dto4D
    • Custom Activations
      • MeanVarianceActivation
    • Custom Models
      • Stochastic Model
      • MVEM
      • DeepEnsemble
      • SWAG
      • MultiSWAG
      • Orthonormal Certificates
  • Utils
    • Losses
      • Gaussian Negative Log Likelihood
    • Metrics
      • PICP
      • PINAW
      • CWC
    • Regularizers
      • Orthonormality
purestochastic
  • »
  • Overview: module code

All modules for which code is available

  • purestochastic.common.losses
  • purestochastic.common.metrics
  • purestochastic.common.regularizers
  • purestochastic.model.activations
  • purestochastic.model.base_uncertainty_models
  • purestochastic.model.deep_ensemble
  • purestochastic.model.layers
  • purestochastic.model.orthonormal_certificates
  • purestochastic.model.swag

© Copyright 2022, Victor Bertret. Revision fa92b354.

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