Here's a curated list of popular Natural Language Processing (NLP) tools and frameworks that can help you build, train, and deploy language models:

🧰 Core Libraries

  • TensorFlow

    TensorFlow
    A flexible and scalable library for ML and NLP tasks.

  • PyTorch

    PyTorch
    Known for its dynamic computation graph and ease of use.

  • spaCy

    spaCy
    Fast and efficient library for industrial-strength NLP.

  • NLTK

    NLTK
    Great for educational purposes and basic text processing.

🌐 Advanced Frameworks

  • Hugging Face Transformers

    Hugging Face Transformers
    Home of state-of-the-art pre-trained models like BERT and GPT.

  • Stanford NLP

    Stanford NLP
    Offers tools for tokenization, parsing, and semantic analysis.

  • Apache OpenNLP

    Apache OpenNLP
    Open-source library for machine learning-driven NLP tasks.

📚 Recommended Reading

For deeper insights into NLP concepts, check out our NLP Overview Guide.