Sparse Python Packages

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.

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.

tabmat

Efficient matrix representations for working with tabular data

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.

libcuvs-cu12

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

torch-sparse

PyTorch Extension Library of Optimized Autograd Sparse Matrix Operations

cuvs-cu12

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

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.

python-graphblas

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

cooler

A cool place to store your Hi-C

scikit-sundae

Python bindings to SUNDIALS differential algebraic equation solvers

genieclust

Genie: Fast and Robust Hierarchical Clustering

sparse-dot-mkl

Python wrapper for Intel Math Kernel Library (MKL) matrix multiplication

grblas

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

libsps

O(1) region count queries using sparse prefix sums

tmu

Your project description

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.

npdict

Python Package for Dictionary Wrappers for Numpy Arrays

speedtorch

Library for faster pinned CPU <-> GPU transfer in Pytorch

cuvs-cu13

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

fastrvm

Relevance Vector Machine in Python with a C++ Core

libcuvs-cu13

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

matrepr

Format matrices and tensors to HTML, string, and LaTeX, with Jupyter integration.