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Linear Algebra Python Packages

Python packages with the GitHub topic linear-algebra. Sorted by relevance, with stars and monthly downloads.
explosion
blis

💥 Fast matrix-multiplication as a self-contained Python library – no system dependencies!

20.9M 237 44
arviz-devs
xarray-einstats

Stats, linear algebra and einops for xarray

2.6M 67 9
oxfordcontrol
qdldl

Python interface to the QDLDL (https://github.com/osqp/qdldl) free LDL factorization routine for quasi-definite linear systems

542K 18 23
cgohlke
transformations

Homogeneous transformation matrices and quaternions.

332K 103 17
google
lineax

Linear solvers in JAX and Equinox. https://docs.kidger.site/lineax

279K 541 38
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.

226K 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.

223K 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.

119K 1K 231
ajhynes7
scikit-spatial

Spatial objects and computations based on NumPy arrays.

77K 103 13
simpeg
discretize

Discretization tools for finite volume and inverse problems.

34K 198 36
simpeg
pymatsolver

Solve matrix equations in python.

25K 40 17
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.

22K 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.

22K 1K 231
lace
vg

Vector-geometry toolbelt for 3D points and vectors

17K 124 16
python-graphblas
python-graphblas

Python library for GraphBLAS: high-performance sparse linear algebra for scalable graph analytics

17K 155 16
GeoStat-Framework
pentapy

A Python toolbox for pentadiagonal linear systems

17K 15 5
LucaBonamino
gf2-lin-algebra

Python package for linear algebra operations in GF(2)

13K 1 0
simpeg
simpeg

Simulation and Parameter Estimation in Geophysics - A python package for simulation and gradient based parameter estimation in the context of geophysical applications.

12K 642 290
Ay-developerweb
rmath-py

Drop-in numerical accelerator for Python, powered by Rust. High-performance arrays, linear algebra, and statistics — outside the GIL.

12K 4 0
shBLOCK
gdmath

🚀Spatium: a fast python spatial math library

11K 8 0
akielaries
openmtpk

Hardware Accelerated General Purpose Mathematics Package (very stale)

10K 7 5
ameli
imate

Implicit Matrix Trace Estimator. Computes the trace of functions of implicit matrices. Accelerated on CPU and CUDA-capable GPU devices.

6K 5 3
auctus-team
pycapacity

An efficient task-space capacity calculation package for robotics and biomechanics

5K 38 5
trnsci
trnsparse

Sparse matrix operations for AWS Trainium via NKI (cuSPARSE-equivalent) — CSR/COO formats, SpMV and SpMM via gather-matmul-scatter, Schwarz integral screening for quantum chemistry.

4K 0 0
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