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DNIKit 2.0.0 documentation

Getting Started

  • Installation
  • Example Jupyter Notebooks

How to Use

  • 1. DNIKit overview
  • 2. Load a model
  • 3. Load data
  • 4. Introspect

Algorithms

  • Data Introspectors
    • Dataset Report
      • Jupyter Notebook: Dataset Report
    • Familiarity
      • Jupyter Notebook: Familiarity for Rare Data Discovery
      • Jupyter Notebook: Familiarity for Comparison of Dataset Distribution
    • Duplicates
      • Jupyter Notebook: Find Near-Duplicate Data
    • Dimension Reduction
      • Jupyter Notebook: Dimension Reduction Strategies
  • Network Introspectors
    • Network Compression with PFA
      • Jupyter Notebook: Principal Filter Analysis (PFA)
    • Find Inactive Units with IUA
      • Jupyter Notebook: Inactive Unit Analysis (IUA)

Utilities

  • Data Producers
  • Batch Processors

Reference

  • DNIKit API
    • dnikit
      • Base API
      • Processors API
      • Introspectors API
      • Exceptions
      • Typing
    • dnikit_tensorflow
    • dnikit_torch
  • Citing DNIKit
  • Support
  • Contributor’s Guide
  • Changelog
  • .rst

DNIKit API

DNIKit API#

This section details the API of the different DNIKit packages.

  • dnikit
  • dnikit_tensorflow
  • dnikit_torch

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