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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.

224K 1K 231
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.

222K 1K 231
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.

117K 1K 231
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.

21K 1K 231
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.

21K 1K 231
iii-hq
iii-sdk

Effortlessly compose, extend, and observe every service in real-time for the first time ever.

13K 0 1
MLBazaar
mlprimitives

Primitives for machine learning and data science.

7K 71 37
MLBazaar
mlblocks

A library for composing end-to-end tunable machine learning pipelines.

6K 123 33
sintel-dev
ml-stars

Primitives and Pipelines for Time Series Data.

3K 5 1
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 231
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.

1K 1K 231
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.

984 1K 231
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.

671 1K 231
qiskit-community
prototype-zne

Zero Noise Extrapolation (ZNE) prototype for error mitigation on the Qiskit Estimator primitive

592 36 21
Heracleia
pyrdmp

Python Library for Dynamic Movement Primitives with Reinforcement Learning

403 14 3
vltr
middle

Flexible, extensible Python data structures for general usage

364 10 1
Qiskit-Extensions
staged-primitives

Backend based primitives defining a staged computational pipeline.

256 5 0
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