YGZWQZD / LAMDA-SSL
30 Semi-Supervised Learning Algorithms
Why this job: topics: neural-network, computer-vision, natural-language-processing, scikit-learn, deep-learning, machine-learning, pytorch
What it does
At present, LAMDA-SSL has implemented 30 SSL algorithms, including 12 statistical SSL algorithms and 18 deep SSL algorithms.
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Inactive
- Last commit 8 months ago
- Stars
- 207
- On GitHub
- Licence
- MIT
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- 1.0
- Released 4 years ago
- Built with
- Python
- 100% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 8% closed
- 12 still open
- Pull requests
- 2 merged
- 0 waiting
- Releases
- 1
- 0 in the last year
- No contributing guide
- No security policy
- No code of conduct
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More: languages, topics and project record
Languages
- Python 100%
Topics
- machine-learning
- semi-supervised-learning
- deep-learning
- pytorch
- scikit-learn
- toolkit
- python
- computer-vision
- natural-language-processing
- generative-model
- automl
- gnn
Project record
- JobAI libraries and models
- StatusListed
- Commits278
- Forks16
- Watching5
- Stars in 28 days0
- CreatedDec 25, 2021
- First seen by usNov 7, 2026
- CheckedNov 8, 2026