| Name | Version | Summary | date |
| torch-sparse |
0.6.18 |
PyTorch Extension Library of Optimized Autograd Sparse Matrix Operations |
2023-10-06 08:51:55 |
| spector |
1.4 |
Sparse vectors. |
2023-10-06 00:17:14 |
| cooler |
0.9.3 |
Sparse binary format for genomic interaction matrices. |
2023-09-11 22:57:23 |
| torchsparsegradutils |
0.1.2 |
A collection of utility functions to work with PyTorch sparse tensors |
2023-08-15 15:09:13 |
| ml4s |
1.0.0 |
Unified API for machine learning |
2023-08-10 15:50:30 |
| bisum |
0.1.1 |
binary sparse and dense tensor partial-tracing |
2023-07-27 00:31:51 |
| fermpy |
0.0.2 |
Package for exactly solving low-dimensional fermionic Hamiltonians |
2023-07-24 14:51:23 |
| sparsebm |
1.6.7 |
An implementation of Stochastic Bloc model and Latent Block model efficient with sparse matrices |
2023-07-17 13:50:33 |
| sparse-dok |
0.1.9.4 |
sparse dok tensor implementation |
2023-07-09 14:50:14 |
| sprint-toolkit |
0.0.3 |
SPRINT: A Unified Toolkit for Evaluating and Demystifying Zero-shot Neural Sparse Retrieval |
2023-06-21 18:40:24 |
| unifyml |
0.0.2 |
Unified API for machine learning |
2023-06-16 14:57:28 |
| torch-sparse-carate |
0.6.17 |
PyTorch Extension Library of Optimized Autograd Sparse Matrix Operations |
2023-03-25 20:20:10 |
| larcv |
3.5.0 |
C++ IO and Preprocessing package for sparse neutrino data, with H5 for IO and python bindings. |
2023-01-25 22:09:05 |
| sparselsh |
2.1.1 |
A locality sensitive hashing library with an emphasis on large, sparse datasets. |
2022-12-20 22:22:21 |
| pyMKL |
0.0.3 |
Python wrapper of Intel MKL routines |
2016-10-06 21:49:16 |