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# Sequence Modeling

This repository contains code, experiments, and resources for sequence modeling techniques, including RNNs, LSTMs, GRUs, and Transformer-based models. The project is organized for educational and research purposes, with Jupyter notebooks and requirements for easy setup.

## Contents
- `implementation.ipynb`: Main notebook with sequence modeling implementations and experiments.
- `requirements.txt`: Python dependencies for running the notebooks.

## Usage
1. Clone the repository:
   ```bash
   git clone https://github.com/GruheshKurra/SequenceModeling.git
   ```
2. Install dependencies:
   ```bash
   pip install -r requirements.txt
   ```
3. Open and run the notebook:
   ```bash
   jupyter notebook implementation.ipynb
   ```

## Links
- [GitHub Repository](https://github.com/GruheshKurra/SequenceModeling)
- [Hugging Face Hub](https://huggingface.co/karthik-2905/SequenceModeling)

## License
MIT License