https://github.com/sukhmancs/textwizards

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!
https://github.com/sukhmancs/textwizards

char-rnn chat-bot-nltk classification data-visualization encoder-decoder-attention gpt gradient-descent math-question-solver n-gram-language-models naive-bayes-classifier nlp patient-survival-analysis regression-algorithms sentiment-analysis smallgpt spell-checker titanic-dataset translation trax word-embeddings

Last synced: 4 days ago
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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!

• Host: GitHub
• URL: https://github.com/sukhmancs/textwizards
• Owner: sukhmancs
• License: mit
• Created: 2024-01-20T03:23:35.000Z (12 months ago)
• Default Branch: main
• Last Pushed: 2024-01-28T04:21:39.000Z (11 months ago)
• Last Synced: 2024-11-14T07:26:36.007Z (about 2 months ago)
• Topics: char-rnn, chat-bot-nltk, classification, data-visualization, encoder-decoder-attention, gpt, gradient-descent, math-question-solver, n-gram-language-models, naive-bayes-classifier, nlp, patient-survival-analysis, regression-algorithms, sentiment-analysis, smallgpt, spell-checker, titanic-dataset, translation, trax, word-embeddings
• Language: Jupyter Notebook
• Homepage:
• Size: 732 KB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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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](https://pytorchstepbystep.com/) 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](./LICENSE) file for details.