Open-source PyTorch library
High-level APIs for vision, text, tabular data, and recommendations.
fast.ai
fastai is an open-source deep learning library built on PyTorch. It provides high-level components for computer vision, natural language processing, tabular data, and recommendation systems, with lower-level APIs for customization.
What is fast.ai?
fastai is an open-source deep learning library built on PyTorch. It provides high-level components for computer vision, natural language processing, tabular data, and recommendation systems, with lower-level APIs for customization.
What can fast.ai do?
Composable training workflows
Learners, data blocks, callbacks, metrics, and optimizers support practical model training.
Extensible Python design
Layered APIs can be customized and combined with PyTorch and other libraries.
Use Cases
“Open-source PyTorch library”
High-level APIs for vision, text, tabular data, and recommendations.
“Composable training workflows”
Learners, data blocks, callbacks, metrics, and optimizers support practical model training.
“Extensible Python design”
Layered APIs can be customized and combined with PyTorch and other libraries.
Frequently Asked Questions
What is fastai?
fastai is an open-source deep learning library built on PyTorch. It provides high-level components for computer vision, natural language processing, tabular data, and recommendation systems, with lower-level APIs for customization.
How do I install fastai?
Install it from PyPI with `pip install fastai`; the official documentation and GitHub repository provide tutorials and development instructions.
Who is it for?
Practitioners and researchers building deep-learning models in Python.
How much does it cost?
The library is open source. Check the official project for any separate course or service terms.
Quick Facts
- Category
- Developer tools
- Project
- fastai
- License
- Open source
- Install
- pip install fastai
fast.ai Traffic Analysis
Traffic data is for reference only.
- Domain Rating
- 80
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