| Name | Version | Summary | date |
| multi-mst |
0.1.4 |
Minimum spanning tree based manifold approximations. |
2024-12-18 22:16:31 |
| sqfa |
0.1.1 |
Supervised Quadratic Feature Analysis: Task specific second order feature extraction |
2024-12-17 13:26:27 |
| augmented-pca |
0.3.0 |
Python implementations of supervised and adversarial linear factor models. |
2024-11-08 21:07:36 |
| tensorflow-projection-qm |
0.2.3 |
A package with fast, TensorFlow-based implementations of projection (i.e., dimensionality reduction) quality metrics. |
2024-11-03 17:06:48 |
| adaptivepca |
1.1.3 |
An advanced PCA implementation with adaptive feature scaling and preprocessing |
2024-10-31 03:51:45 |
| prob-dim-red |
0.0.3 |
Probabilistic dimensionality reduction methods |
2024-10-22 14:19:10 |
| kmer-map |
0.0.7 |
A package for visualizing kmers. |
2024-10-04 21:29:58 |
| DeepCoreML |
0.4.0 |
A collection of Machine Learning techniques for data management, engineering and augmentation. |
2024-09-30 08:53:03 |
| SupervisedMF |
0.0.4 |
A package for various supervised matrix factorization methods |
2024-08-04 16:50:23 |
| mafese |
0.2.0 |
Feature Selection using Metaheuristics Made Easy: Open Source MAFESE Library in Python |
2024-06-12 15:47:19 |
| slisemap |
1.6.2 |
SLISEMAP: Combine local explanations with supervised dimensionality reduction |
2024-04-30 09:09:37 |