a2DL: Advanced Deep Learning Repository

Welcome to the a2DL repository! This is your go-to source for advanced deep learning models, experiments, and utilities. Whether you're delving into research, studying, or just embarking on your deep learning journey, this repository aims to guide you further.

🚀 Features

• Advanced Models: Dive deep into cutting-edge architectures and methodologies.
• Thorough Experiments: Gain insights into how different models behave under diverse scenarios.
• Utilities: Make use of handy functions and tools to make your workflow smoother.

📦 Dataset

For the experiments and models housed in this repository, please refer to the dataset here: Google Drive Dataset Link

Ensure to download and position the dataset correctly before executing the experiments.

🛠 Getting Started

1. Clone the Repository

git clone https://github.com/variyas31/a2DL.git

2. Procure the Dataset

• Access the Google Drive Dataset Link to fetch the dataset.
• Extract and situate the dataset in the data/ directory (or as indicated in the code).

3. Environment Setup and Installation

Prerequisites

• Ensure you have Python (version 3.6 or newer recommended).
• Jupyter Notebook is essential.

Steps:

i. Set Up a Virtual Environment (Optional but advised)

  This step helps in evading any potential conflicts with other projects or global packages:

  ```bash
  python -m venv a2DL_env
  source a2DL_env/bin/activate  # On Windows, use `a2DL_env\Scripts\activate`
  ```

ii. Install Necessary Libraries

  ```bash
  pip install pandas matplotlib seaborn tensorflow Pillow numpy scikit-learn keras-tuner jupyter IPython
  ```

iii. Kickstart Jupyter Notebook

  ```bash
  jupyter notebook
  ```

  This command opens the Jupyter interface in your default browser. From there, navigate to the `a2DL` repository's location and open the relevant notebooks.

💌 Contact

Should you have any questions or feedback, kindly contact Variyas Nitin Singlaa.