| # 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 |