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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
pybamm-team
pybamm

Fast and flexible physics-based battery models in Python

114K 2K 764
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
GeoStat-Framework
pentapy

A Python toolbox for pentadiagonal linear systems

17K 15 5
ttinoco
optalg

Python package with optimization algorithms, wrappers and tools.

3K 10 4
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
OllieBoyne
sslap

Super Sparse Linear Assignment Problems Solver

605 13 6
qpsolvers
qpbenchmark

Benchmark for quadratic programming solvers available in Python

462 173 18
SmilingWayne
puzzlekit

100+ solvers for logic puzzles with ortools, 41k+ datasets for 130+ puzzles, e.g. Nonogram, Slitherlink, Fillomino, Creek, Akari, Yajilin and Sudoku-variants.

367 29 1
qpsolvers
qpsolvers-benchmark

Benchmark for quadratic programming solvers available in Python

343 173 18
pybamm-team
pybamm-cookie

A template for creating battery modeling projects based on PyBaMM

303 16 6
romanstrazanec
mgsolver

Collection of mini game solvers.

86 0 0
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