https://github.com/assert-kth/quantizedsae
Extreme Quantization for Sparse Autoencoders (thesis Han Tu)
Science Score: 26.0%
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○CITATION.cff file
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✓.zenodo.json file
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Last synced: 11 months ago
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Repository
Extreme Quantization for Sparse Autoencoders (thesis Han Tu)
Basic Info
Statistics
- Stars: 0
- Watchers: 9
- Forks: 0
- Open Issues: 1
- Releases: 0
Created over 1 year ago
· Last pushed 12 months ago
Metadata Files
Readme
README.md
QuantizedSAE
Owner
- Name: ASSERT
- Login: ASSERT-KTH
- Kind: organization
- Location: Sweden
- Website: https://github.com/ASSERT-KTH/
- Repositories: 87
- Profile: https://github.com/ASSERT-KTH
assertEquals("Research group at KTH Royal Institute of Technology, Stockholm, Sweden", description);
GitHub Events
Total
- Push event: 19
- Pull request event: 1
- Create event: 4
Last Year
- Push event: 19
- Pull request event: 1
- Create event: 4