Faiss is a library for efficient similarity search and clustering of dense vectors. It contains algorithms that search in sets of vectors of any size, up to ones that possibly do not fit in RAM. It also contains supporting code for evaluation and parameter tuning. Faiss is written in C++ with complete wrappers for Python/numpy. It is developed by Facebook AI Research.
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Release files for faiss-cpu-py36 1.7.3
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| faiss-cpu-py36-1.7.3.tar.gz | 48.9 kB | Details |
Built distributions (wheels)
Total release size: 225.8 MB
Release files / faiss-cpu-py36-1.7.3.tar.gz
| Download URL | faiss-cpu-py36-1.7.3.tar.gz |
|---|---|
| Size | 48.9 kB |
| Tags | Source |
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Release files / faiss_cpu_py36-1.7.3-cp311-cp311-win_amd64.whl
| Download URL | faiss_cpu_py36-1.7.3-cp311-cp311-win_amd64.whl |
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| Size | 10.4 MB |
| Tags | CPython 3.11 Windows x86-64 |
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Release files / faiss_cpu_py36-1.7.3-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
| Download URL | faiss_cpu_py36-1.7.3-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl |
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| Size | 17.0 MB |
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Release files / faiss_cpu_py36-1.7.3-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
| Download URL | faiss_cpu_py36-1.7.3-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl |
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| Size | 2.9 MB |
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Release files / faiss_cpu_py36-1.7.3-cp311-cp311-macosx_11_0_arm64.whl
| Download URL | faiss_cpu_py36-1.7.3-cp311-cp311-macosx_11_0_arm64.whl |
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Release files / faiss_cpu_py36-1.7.3-cp311-cp311-macosx_10_9_x86_64.whl
| Download URL | faiss_cpu_py36-1.7.3-cp311-cp311-macosx_10_9_x86_64.whl |
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| Size | 5.7 MB |
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Release files / faiss_cpu_py36-1.7.3-cp310-cp310-win_amd64.whl
| Download URL | faiss_cpu_py36-1.7.3-cp310-cp310-win_amd64.whl |
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| Size | 10.4 MB |
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Release files / faiss_cpu_py36-1.7.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
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Release files / faiss_cpu_py36-1.7.3-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
| Download URL | faiss_cpu_py36-1.7.3-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl |
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Release files / faiss_cpu_py36-1.7.3-cp310-cp310-macosx_11_0_arm64.whl
| Download URL | faiss_cpu_py36-1.7.3-cp310-cp310-macosx_11_0_arm64.whl |
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Release files / faiss_cpu_py36-1.7.3-cp310-cp310-macosx_10_9_x86_64.whl
| Download URL | faiss_cpu_py36-1.7.3-cp310-cp310-macosx_10_9_x86_64.whl |
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| Size | 5.7 MB |
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Release files / faiss_cpu_py36-1.7.3-cp39-cp39-win_amd64.whl
| Download URL | faiss_cpu_py36-1.7.3-cp39-cp39-win_amd64.whl |
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| Size | 10.4 MB |
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Release files / faiss_cpu_py36-1.7.3-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
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Release files / faiss_cpu_py36-1.7.3-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
| Download URL | faiss_cpu_py36-1.7.3-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl |
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Release files / faiss_cpu_py36-1.7.3-cp39-cp39-macosx_11_0_arm64.whl
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Release files / faiss_cpu_py36-1.7.3-cp39-cp39-macosx_10_9_x86_64.whl
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Release files / faiss_cpu_py36-1.7.3-cp38-cp38-win_amd64.whl
| Download URL | faiss_cpu_py36-1.7.3-cp38-cp38-win_amd64.whl |
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| Size | 10.4 MB |
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Release files / faiss_cpu_py36-1.7.3-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
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Release files / faiss_cpu_py36-1.7.3-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
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Release files / faiss_cpu_py36-1.7.3-cp38-cp38-macosx_11_0_arm64.whl
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Release files / faiss_cpu_py36-1.7.3-cp37-cp37m-win_amd64.whl
| Download URL | faiss_cpu_py36-1.7.3-cp37-cp37m-win_amd64.whl |
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| Size | 10.4 MB |
| Tags | CPython 3.7 CPython 3.7 pymalloc Windows x86-64 |
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| Size | 17.0 MB |
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| Size | 2.9 MB |
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Release files / faiss_cpu_py36-1.7.3-cp37-cp37m-macosx_10_9_x86_64.whl
| Download URL | faiss_cpu_py36-1.7.3-cp37-cp37m-macosx_10_9_x86_64.whl |
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| Size | 5.7 MB |
| Tags | CPython 3.7 CPython 3.7 pymalloc macOS 10.9+ x86-64 |
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Release files / faiss_cpu_py36-1.7.3-cp36-cp36m-win_amd64.whl
| Download URL | faiss_cpu_py36-1.7.3-cp36-cp36m-win_amd64.whl |
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| Size | 10.8 MB |
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Release files / faiss_cpu_py36-1.7.3-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
| Download URL | faiss_cpu_py36-1.7.3-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl |
|---|---|
| Size | 17.0 MB |
| Tags | CPython 3.6 CPython 3.6 pymalloc Linux glibc 2.17+ x86-64 |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.1 CPython/3.11.1
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Release files / faiss_cpu_py36-1.7.3-cp36-cp36m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
| Download URL | faiss_cpu_py36-1.7.3-cp36-cp36m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl |
|---|---|
| Size | 2.9 MB |
| Tags | CPython 3.6 CPython 3.6 pymalloc Linux glibc 2.17+ ARM64 |
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SHA-256 checksum How to use checksums |
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No |
| Uploaded via |
twine/4.0.1 CPython/3.11.1
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Release files / faiss_cpu_py36-1.7.3-cp36-cp36m-macosx_10_9_x86_64.whl
| Download URL | faiss_cpu_py36-1.7.3-cp36-cp36m-macosx_10_9_x86_64.whl |
|---|---|
| Size | 5.7 MB |
| Tags | CPython 3.6 CPython 3.6 pymalloc macOS 10.9+ x86-64 |
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SHA-256 checksum How to use checksums |
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No |
| Uploaded via |
twine/4.0.1 CPython/3.11.1
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