PyRank

Neighborhood Methods Python Packages

Python packages with the GitHub topic neighborhood-methods. Sorted by relevance, with stars and monthly downloads.
rapidsai
pylibraft-cu12

RAFT contains fundamental widely-used algorithms and primitives for machine learning and information retrieval. The algorithms are CUDA-accelerated and form building blocks for more easily writing high performance applications.

194K 1K 232
rapidsai
libraft-cu12

RAFT contains fundamental widely-used algorithms and primitives for machine learning and information retrieval. The algorithms are CUDA-accelerated and form building blocks for more easily writing high performance applications.

173K 1K 232
rapidsai
raft-dask-cu12

RAFT contains fundamental widely-used algorithms and primitives for machine learning and information retrieval. The algorithms are CUDA-accelerated and form building blocks for more easily writing high performance applications.

82K 1K 232
rapidsai
libcuvs-cu12

cuVS - a library for vector search and clustering on the GPU

67K 752 184
rapidsai
cuvs-cu12

cuVS - a library for vector search and clustering on the GPU

35K 752 184
rapidsai
libraft-cu13

RAFT contains fundamental widely-used algorithms and primitives for machine learning and information retrieval. The algorithms are CUDA-accelerated and form building blocks for more easily writing high performance applications.

23K 1K 232
rapidsai
pylibraft-cu13

RAFT contains fundamental widely-used algorithms and primitives for machine learning and information retrieval. The algorithms are CUDA-accelerated and form building blocks for more easily writing high performance applications.

23K 1K 232
rapidsai
raft-dask-cu13

RAFT contains fundamental widely-used algorithms and primitives for machine learning and information retrieval. The algorithms are CUDA-accelerated and form building blocks for more easily writing high performance applications.

2K 1K 232
rapidsai
pylibraft-cu11

RAFT contains fundamental widely-used algorithms and primitives for machine learning and information retrieval. The algorithms are CUDA-accelerated and form building blocks for more easily writing high performance applications.

875 1K 232
rapidsai
raft-dask-cu11

RAFT contains fundamental widely-used algorithms and primitives for machine learning and information retrieval. The algorithms are CUDA-accelerated and form building blocks for more easily writing high performance applications.

836 1K 232
rapidsai
cuvs-cu13

cuVS: Vector Search on the GPU

810 752 184
rapidsai
libcuvs-cu13

cuVS - a library for vector search and clustering on the GPU

784 752 184
rapidsai
cuvs-cu11

cuVS - a library for vector search and clustering on the GPU

758 752 184
rapidsai
libraft-cu11

RAFT contains fundamental widely-used algorithms and primitives for machine learning and information retrieval. The algorithms are CUDA-accelerated and form building blocks for more easily writing high performance applications.

608 1K 232
rapidsai
libcuvs-cu11

cuVS - a library for vector search and clustering on the GPU

584 752 184