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Awesome GitHub RepositoriesRegularization Techniques

Methods used to prevent overfitting in machine learning models by penalizing complexity or introducing noise.

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Awesome Regularization Techniques GitHub Repositories

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  • huggingface/transformers

    huggingface/transformers

    156,730GitHubView on GitHub↗

    Transformers is a comprehensive library for machine learning that provides a unified interface for training, fine-tuning, and deploying transformer-based models. It supports a wide range of tasks, including text classification, language modeling, question answering, and sequence-to-sequence translation, while offering

    Pythonaudiodeep-learningdeepseek
  • d2l-ai/d2l-zh

    d2l-ai/d2l-zh

    75,708GitHubView on GitHub↗

    This project is an open-source, interactive educational platform designed to teach deep learning through a comprehensive, code-first curriculum. It provides a structured learning path that covers foundational mathematics, modern neural network architectures, and practical optimization techniques, enabling practitioners

    Pythonbookchinesecomputer-vision

Explore sub-tags

  • Embedding RegularizationNoise injection or constraints applied specifically to embedding layers.