| Name | Version | Summary | date |
| interdim |
1.0.2 |
Interactive Dimensionality Reduction, Clustering, and Visualization |
2024-10-16 17:40:06 |
| torchdr |
0.1 |
Torch Dimensionality Reduction Library |
2024-09-17 10:28:29 |
| dreimac |
0.3.2 |
DREiMac: Dimensionality reduction with Eilenberg-MacLane coordinates |
2024-09-10 19:05:38 |
| featuremap-learn |
1.0.3 |
FeatureMAP |
2024-06-04 06:39:17 |
| featuremap |
1.0.0 |
FeatureMAP |
2024-05-28 05:50:53 |
| GTMAnalysisToolkit |
1.0.2 |
Generative Topographic Mapping and Analysis Toolkit |
2024-02-18 15:47:58 |
| idPettis-By-Bisca |
0.0.3 |
IDPettis Intrinsic Dimensionality Estimation by Alberto Biscalchin |
2024-02-08 19:24:15 |
| deepCoreML |
0.1 |
A collection of Machine Learning techniques for data management and augmentation. |
2023-11-29 22:13:22 |
| scbig |
0.1.1 |
scBiG for representation learning of single-cell gene expression data based on bipartite graph embedding |
2023-11-29 12:49:18 |
| metacluster |
1.2.0 |
MetaCluster: An Open-Source Python Library for Metaheuristic-based Clustering Problems |
2023-11-10 16:20:09 |
| scgraphne |
0.1.1 |
scGraphNE: a novel scRNA-seq representation learning method based on graph node embedding |
2023-08-05 08:06:57 |
| TreeOrdination |
1.3.3 |
Projection of High-Dimensional Data Using Multivariate Decision Trees and UMAP |
2023-07-13 21:38:36 |
| procurve |
0.0.2 |
Principal curve for spherical data using splines. |
2023-06-21 16:35:27 |
| umap-pytorch |
0.0.6 |
Umap port for pytorch |
2023-01-23 17:22:18 |