• Self-Supervision

    Implementations of several self-supervised pretext tasks for language and vision modalities in PyTorch.

  • Attention Mechanisms

    Implementations for a family of attention mechanisms, suitable for all kinds of natural language processing tasks and compatible with TensorFlow 2.0 and Keras.

  • Comparatively Finetuning BERT

    Comparatively fine-tuning pretrained BERT models on downstream, text classification tasks with different architectural configurations in PyTorch.

  • Exemplary Machine Learning Pipeline

    Exemplary, annotated machine learning pipeline for any tabular data problem.

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