Training & fine-tuning
fastai
Combines concise application-level training workflows with customizable PyTorch components and executable documentation.
Overview
Research summary
fastai provides concise workflows for common deep-learning applications, including image classification, segmentation, text, tabular data and recommendation systems. It builds on PyTorch and offers higher-level interfaces alongside lower-level components that developers can customize. The project’s documentation is maintained as executable notebooks, with tutorials and a companion course showing how to train models on new datasets. The library is useful for rapidly establishing a training workflow while retaining access to the underlying model and optimization machinery.
Repository summary
- Stars
- 28,210
- Open issues
- Unavailable
- Last push
- 2026-09-21
- Commits, 90 days
- Unavailable
- Repository activity
- Not scored
- Version
- Unavailable
Recorded catalogue figures. View repository data and provenance →
Classification
Pricing & services
Paid services unknown
Whether the provider offers paid products or services has not been established.
Licence scope
Implementation
Recorded implementation details and interfaces for fastai.
Implementation details
Python library and supporting tools
- Languages
- Python
- Repository type
- source
Recorded interfaces and capabilities
Licence scope
Repository
Repository snapshots, release information and recorded maintenance signals.
Repository snapshot
- Stars
- 28,210
- Open issues
- Unavailable
- Last push
- 2026-09-21
- Commits, 90 days
- Unavailable
- Repository activity
- Not scored
- Archived
- Not recorded
Repository activity is a snapshot, not a quality or popularity ranking. It combines recent-push freshness (50%), 90-day commits (30%) and issue pressure (20%).
Maintenance and provenance
- Catalogue snapshot
- 2026-10-06
- Stars source
- Recorded fallback
- Last push source
- Recorded fallback
Documentation
Recorded references and research provenance for this entry.
Recorded sources 6
- https://docs.fast.ai Project page · Documentation
- https://github.com/fastai/fastai Linked repository · Research reference
- https://api.github.com/repos/fastai/fastai Research reference
- https://github.com/fastai/fastai/blob/main/README.md Research reference
- https://github.com/fastai/fastai/blob/main/LICENSE Research reference
- http://docs.fast.ai Research reference
Research metadata
- Research date
- 2026-10-02
- Catalogue snapshot
- 2026-10-06