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lif31up/README.md 
- Sequential Data Processing and Transformers (LLMs)
- SSMs, Long Sequence and Long-Range Dependencies
- FSL and Meta Learning

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  1. knowledge-distillation knowledge-distillation Public

    ViT/DistillViT for MNIST from scratch

    Python

  2. state-space-models state-space-models Public

    (ongoing) SSMs for sequence classification

    Python

  3. model-agnostic-meta-learning model-agnostic-meta-learning Public

    MAML and its variants for FSL image classification

    Python 3 1

  4. encoder-only-transformer-adapter encoder-only-transformer-adapter Public

    PETL adaptor for pretrained BERT

    Python

  5. SSL SSL Public

    Self-Supervised Learning for baseline ViT

    Python

  6. prototypical-network prototypical-network Public

    Prototypical network for few-shot image classification

    Python 1