Curvfaiss is a library for efficient similarity search and clustering of dense vectors in non-Euclidean manifolds. The backbone is based on the Faiss project. Modifications are developed by Alibaba-Alimama Tech.
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Release files for curvfaiss 1.0.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| curvfaiss-1.0.0.tar.gz | 3.4 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| curvfaiss-1.0.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 6.8 MB
Release files / curvfaiss-1.0.0.tar.gz
| Download URL | curvfaiss-1.0.0.tar.gz |
|---|---|
| Size | 3.4 MB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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twine/4.0.0 CPython/3.7.10
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Release files / curvfaiss-1.0.0-py3-none-any.whl
| Download URL | curvfaiss-1.0.0-py3-none-any.whl |
|---|---|
| Size | 3.4 MB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
def5094ad87f2b2ca3436b51ac1724dbe8bf4b3357f28e95b9770e70b85bc60b
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BLAKE2b-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.0 CPython/3.7.10
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