| Name | Version | Summary | date |
| pytorch-pca |
0.1.3 |
Comprehensive PyTorch implementation of PCA. |
2025-07-15 21:36:55 |
| pyspm |
0.6.1 |
Library to handle SPM and ToF-SIMS data |
2024-02-09 16:46:49 |
| pca-pwa |
1.0.5 |
simplified manner for insights and decision-making, by visualizing complex relationships with PCA web application |
2024-01-08 18:32:51 |
| ProDy |
2.4.1 |
A Python Package for Protein Dynamics Analysis |
2023-08-13 09:03:43 |
| pcax |
0.1.0 |
Minimal Principal Component Analysis (PCA) implementation using JAX. |
2023-05-29 12:20:21 |
| spectrally-constrained-lvms |
0.1.3 |
An optimisation implementation of linear transforms with a spectral constraint. |
2023-05-29 12:15:28 |
| dimensionality-reductions-jmsv |
0.1.0 |
Package with the PCA, SVD and t-SNE methods for dimensionality reduction |
2023-04-14 16:29:47 |
| dimensionality-reduction-jmsv |
0.1.0 |
Package with the PCA, SVD and t-SNE methods for dimensionality reduction |
2023-04-14 09:22:56 |
| binderspace |
1.0.2 |
a library for finding the space for binding sequences |
2023-04-10 18:50:29 |
| contrastive |
1.2.0 |
Python library for performing unsupervised learning (e.g. PCA) in contrastive settings, where one is interested in finding directions and patterns that exist one dataset, but not the other |
2023-02-06 19:43:03 |