adapt-python / adapt
Awesome Domain Adaptation Python Toolbox
Why this job: topics: tensorflow, scikit-learn, deep-learning, machine-learning
What it does
- FA (*Frustratingly Easy Domain Adaptation*) [[paper]](https://arxiv.org/pdf/0907.1815.pdf)
- SA (*Subspace Alignment*) [[paper]](https://arxiv.org/abs/1409.5241)
- fMMD (*feature Selection with MMD*) [[paper]](https://www.cs.cmu.edu/afs/cs/Web/People/jgc/publication/Feature%20Selection%20for%20Transfer%20Learning.pdf)
- DANN (*Discriminative Adversarial Neural Network*) [[paper]](https://jmlr.org/papers/volume17/15-239/15-239.pdf)
- ADDA (*Adversarial Discriminative Domain Adaptation*) [[paper]](https://arxiv.org/pdf/1702.05464.pdf)
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Inactive
- Last commit 11 months ago
- Stars
- 379
- +2 this week
- Licence
- BSD-2-Clause
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- 0.4.5
- Released 11 months ago
- Built with
- Python
- 92% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 58% closed
- 27 still open
- Pull requests
- 67 merged
- 1 waiting
- Releases
- 16
- 1 in the last year
- No contributing guide
- No security policy
- No code of conduct
More: languages, topics and project record
Languages
- Python 92%
- HTML 6%
- CSS 1%
- JavaScript <1%
Topics
- domain-adaptation
- transfer-learning
- few-shot-learning
- zero-shot-learning
- adversarial-learning
- adversarial-networks
- feature-selection
- importance-sampling
- regularization-parameters
- machine-learning
- deep-learning
- generalization
Project record
- JobAI libraries and models
- StatusListed
- Commits583
- Forks54
- Watching7
- Stars in 28 days+3
- CreatedJun 25, 2020
- First seen by usNov 7, 2026
- CheckedNov 8, 2026