Jupyter Notebooks
A deep learning library built on PyTorch that provides high-level components for rapid results and low-level components for research flexibility.
What is Jupyter Notebooks?
fastai is a deep learning library built on PyTorch that provides high-level components for practitioners to quickly achieve state-of-the-art results in domains like computer vision, NLP, tabular data, and recommendation systems. It also offers low-level, composable building blocks for researchers to develop novel approaches without sacrificing ease of use or performance.
Deep learning practitioners seeking rapid productivity and researchers needing flexible, hackable components for experimental work, both leveraging PyTorch.
Developers choose fastai for its layered API that balances high-level simplicity with low-level configurability, enabling quick model development with minimal code while allowing deep customization through decoupled abstractions and modern best practices.
Overview
The fastai deep learning library
Use Cases
Best For
- Rapid prototyping of deep learning models with minimal code
- Researchers building novel neural network architectures
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