Solvers Python Packages

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.

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.

pybamm

Fast and flexible physics-based battery models in Python

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.

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.

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.

pentapy

A Python toolbox for pentadiagonal linear systems

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.

pgass

A pretty good answer set solver

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.

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.

qpbenchmark

Benchmark for quadratic programming solvers available in Python

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.

sslap

Auction Algorithm for Sparse Linear Assignment Problems

puzzlekit

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

qpsolvers-benchmark

Benchmark for quadratic programming solvers available in Python

pybamm-cookie

A copier template for battery modeling projects using PyBaMM

optalg

Python package with optimization algorithms, wrappers and tools.

mgsolver

Collection of mini game solvers