Colab and Python Lightning#
We will use Google Colab and PyTorch Lightning.
1. Google Colab#
Google Colab is a free cloud-based platform that lets you write and execute Python code in a Jupyter Notebook environment. It’s perfect for collaborative coding, and you get access to free GPUs and TPUs for training models.
Key Features#
Free GPUs/TPUs: Speed up computation-heavy tasks.
Collaboration: Share notebooks with team members in real-time.
Pre-installed Libraries: Comes with many popular Python libraries.
Integration: Easily integrates with Google Drive for saving and accessing files.
Useful Links#
2. Python Lightning#
PyTorch Lightning (or Python Lightning) is a high-level framework for PyTorch that simplifies building and scaling machine learning models. It abstracts the boilerplate code and provides a structure for reproducible and scalable experiments.
Key Features#
Modularity: Separate data loading, model definition, and training loops.
Scalability: Run on CPUs, GPUs, TPUs, or clusters with minimal changes.
Logging and Callbacks: Built-in support for logging with TensorBoard and other tools.
Community Plugins: Leverage Lightning’s rich plugin ecosystem for distributed training, pruning, and more.
How to Get Started#
Install Lightning:
pip install lightning