This project follows the PyTorch for Deep Learning & Machine Learning - Full Course by freeCodeCamp.org. It's focused on implementing foundational deep learning and machine learning concepts using PyTorch.
To set up the project:
- Clone the repository:
git clone https://github.com/gizix/ml_deep_dive.git
- Install dependencies: Run
pip install -r requirements.txt
(create and activate a Python virtual environment if necessary).
- Explore the Jupyter Notebook
pytorch_fundamentals.ipynb
for core PyTorch concepts. - Run tests in the
tests
directory for understanding model performance.
- Comprehensive Jupyter Notebook demonstrating PyTorch basics.
- Structured test cases for model validation.
Feel free to fork the project, make changes, and submit a pull request. Bug reports and feature suggestions are also welcome.
This project is open-sourced under the MIT License.
- Thanks to freeCodeCamp.org for the comprehensive video tutorial.