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  • HDC Learning

Package Reference:

  • torchhd
  • torchhd.embeddings
  • torchhd.structures
  • torchhd.models
  • torchhd.classifiers
    • Classifier
    • Vanilla
    • AdaptHD
    • OnlineHD
    • NeuralHD
    • DistHD
    • CompHD
    • SparseHD
    • QuantHD
    • LeHDC
    • IntRVFL
  • torchhd.memory
  • torchhd.datasets
  • torchhd.utils
Torchhd
  • torchhd.classifiers
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torchhd.classifiers

Classifier

Base class for all classifiers

Vanilla

Baseline centroid classifier.

AdaptHD

Implements AdaptHD: Adaptive Efficient Training for Brain-Inspired Hyperdimensional Computing.

OnlineHD

Implements OnlineHD: Robust, Efficient, and Single-Pass Online Learning Using Hyperdimensional System.

NeuralHD

Implements Scalable edge-based hyperdimensional learning system with brain-like neural adaptation.

DistHD

Implements DistHD: A Learner-Aware Dynamic Encoding Method for Hyperdimensional Classification.

CompHD

Implements CompHD: Efficient Hyperdimensional Computing Using Model Compression.

SparseHD

Implements SparseHD: Algorithm-Hardware Co-optimization for Efficient High-Dimensional Computing.

QuantHD

Implements QuantHD: A Quantization Framework for Hyperdimensional Computing.

LeHDC

IntRVFL

Implements Density Encoding Enables Resource-Efficient Randomly Connected Neural Networks.

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© Copyright 2022, Mike Heddes, Igor Nunes, Dheyay Desai, Pere Vergés.

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