Parents (Total: 5)

The searched file hash is included in 5 parent files which include package known and seen by metalookup. A sample is included below:

Key	Value
FileSize	1044092
MD5	70FC79FFB4C4604F046042050FE4693D
PackageDescription	efficient similarity search and clustering of dense vectors 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. Some of the most useful algorithms are implemented on the GPU. It is developed by Facebook AI Research. . This package contains the CPU-only version of the development files.
PackageMaintainer	Debian Deep Learning Team <debian-ai@lists.debian.org>
PackageName	libfaiss-dev
PackageSection	libdevel
PackageVersion	1.7.3-2+b1
SHA-1	85993B7FD3BFFF6955EF84D0B0A5AB6392D0F758
SHA-256	D55FCF187BF3F264C5E7764BF256E604FCB13D13E1B836BF0B1D7AC6711EDAC6

Key	Value
FileSize	1024428
MD5	0C4113BB49A1457A9CB0CA1C902B5839
PackageDescription	efficient similarity search and clustering of dense vectors 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. Some of the most useful algorithms are implemented on the GPU. It is developed by Facebook AI Research. . This package contains the CPU-only version of the development files.
PackageMaintainer	Debian Deep Learning Team <debian-ai@lists.debian.org>
PackageName	libfaiss-dev
PackageSection	libdevel
PackageVersion	1.7.3-2+b1
SHA-1	386BA5DEE7B1FB415A217F69909A926C2B7E33B4
SHA-256	20FD731EB03EC92E8204E84378CCD9C492AD9DB8DE643A54169DF6A9E4D899AE

Key	Value
FileSize	943136
MD5	010E5DE321ED19C9BC27E36958765E5B
PackageDescription	efficient similarity search and clustering of dense vectors 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. Some of the most useful algorithms are implemented on the GPU. It is developed by Facebook AI Research. . This package contains the CPU-only version of the development files.
PackageMaintainer	Debian Deep Learning Team <debian-ai@lists.debian.org>
PackageName	libfaiss-dev
PackageSection	libdevel
PackageVersion	1.7.3-2+b1
SHA-1	D8245FA6EACC02B849DEDC48954BF526C95FBD76
SHA-256	43D1FA5533BF1B2A16C79707DA46055B99E7CDC6DCB729D959F911DACDB28B77

Key	Value
FileSize	1017072
MD5	8D986C827E15B9CFC2A1156D4495852F
PackageDescription	efficient similarity search and clustering of dense vectors 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. Some of the most useful algorithms are implemented on the GPU. It is developed by Facebook AI Research. . This package contains the CPU-only version of the development files.
PackageMaintainer	Debian Deep Learning Team <debian-ai@lists.debian.org>
PackageName	libfaiss-dev
PackageSection	libdevel
PackageVersion	1.7.3-2+b1
SHA-1	A42AC5EA2FE2337C764B0F334E03CE220754E7BD
SHA-256	1BEB9587DE597452CFEDBC42A61A5DADE52F2AC4CEC3A937F860C068C8658FB6

Key	Value
FileSize	1147556
MD5	0DD43A908AC58E4C23AB06B29F1FCBB3
PackageDescription	efficient similarity search and clustering of dense vectors 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. Some of the most useful algorithms are implemented on the GPU. It is developed by Facebook AI Research. . This package contains the CPU-only version of the development files.
PackageMaintainer	Debian Deep Learning Team <debian-ai@lists.debian.org>
PackageName	libfaiss-dev
PackageSection	libdevel
PackageVersion	1.7.3-2+b1
SHA-1	E4085CBD06A7C751BC3B4915DDC7CACADE03097D
SHA-256	1A9C8B52FF284A9B2C91E4DC9FD00C072E64355FC495D95D77AD1BC5C1091EAB