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This repository houses a collection of my natural language processing (NLP) projects, showcasing a variety of applications and experiments in the field. From sentiment analysis to language modeling, explore the power of NLP through my code. Feel free to use, modify, and contribute!

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🚀 NLP Projects Repository

This repository houses a collection of my natural language processing (NLP) projects, showcasing a variety of applications and experiments in the field. From sentiment analysis to language modeling, explore the power of NLP through my code. Feel free to use, modify, and contribute!

🔍 Key Features:

  • Sentiment Analysis
  • Named Entity Recognition
  • Text Classification
  • Language Modeling
  • Encoder-Decoder Architecture with Attention
  • Transformers
  • Recurrent Neural Network
  • Fine-tuning using HuggingFace
  • Word Embeddings
  • Machine Translation
  • 🤖 Intelligent Conversational Chatbot

🌐 Technologies Used:

  • Python
  • TensorFlow
  • PyTorch
  • NLTK
  • Trax
  • Pandas
  • Numpy

👨‍💻 How to Use:

To run any of the projects in Google Colab, follow these simple steps:

  1. Open in Colab:

    • Click on the "Open in Colab" at the top of any notebook.
  2. Set Up the Environment:

    • If required, follow the instructions within the Colab notebook to set up any necessary environment or dependencies.
  3. Run the Code:

    • Execute the code cells in the notebook one by one to observe the results or modify them as needed.
  4. Explore and Learn:

    • Feel free to experiment with the code, modify parameters, and gain hands-on experience with natural language processing.

Note: Make sure to check the license information before using or modifying the code.

Happy coding! 🚀

🤝 Contributions:

Contributions, bug reports, and feature requests are welcome! Feel free to fork and submit pull requests.

📚 Resources:

Books

  • Deep Learning with Pytorch Step-by-Step by Daniel Voigt Godoy.
    • A comprehensive guide to understanding and implementing NLP techniques in real-world applications. Covers key concepts, algorithms, and practical examples.

📋 License:

This repository is licensed under the MIT License - see the MIT License file for details.

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This repository houses a collection of my natural language processing (NLP) projects, showcasing a variety of applications and experiments in the field. From sentiment analysis to language modeling, explore the power of NLP through my code. Feel free to use, modify, and contribute!

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