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Capsa documentation
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Capsa documentation
  • Overview

Getting Started

  • Installation and Setup
  • Basic Usage
  • Training a Wrapped Model

Wrappers

  • Sample
  • Sculpt
  • Vote
  • Neo

Resources

  • Tutorials
    • PyTorch
      • Vote Wrapper: MNIST Classification
      • Vote Wrapper: Generating MNIST Digits with VAE
      • Sample Wrapper: Generating CelebA with GAN
      • Sculpt Wrapper: Regression
      • Sculpt Wrapper: Depth Estimation with U-Net
      • Neo Wrapper: Two Moons Classification
      • Neo Wrapper: Image Classification with Out-of-Distribution Inputs
      • Additional Testing: Evaluating Other Models
    • TensorFlow
      • Sculpt Wrapper: Regression
      • Sample Wrapper: Generating MNIST Digits with DCGAN
      • Sample Wrapper: Regression
  • Use Cases
    • Use Case: Reliable Question-Answering with Llama-3
    • Use Case: Improve Sentiment Analysis with Mamba
    • Use Case: Robust Object Segmentation with SAM (Segment-Anything Model)
    • Use Case: Robust Object Tracking with TCOW
    • Use Case: Risk Aware Image Generation with Stable Diffusion
    • Use Case: Inspecting and Removing Bias from CelebA
  • Limitations
  • API Reference
    • capsa-torch
      • capsa_torch.sample
      • capsa_torch.sculpt
      • capsa_torch.vote
      • capsa_torch.neo
    • capsa-tf
      • capsa_tf.sample
      • capsa_tf.sculpt
      • capsa_tf.vote
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API ReferenceΒΆ

  • capsa-torch
    • capsa_torch.sample
    • capsa_torch.sculpt
    • capsa_torch.vote
    • capsa_torch.neo
    • RiskOutput
    • collate()
  • capsa-tf
    • capsa_tf.sample
    • capsa_tf.sculpt
    • capsa_tf.vote
    • RiskOutput
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