| Name | Version | Summary | date |
| graph-structure-learning |
0.1.2 |
Extracting graphs from signals on nodes |
2024-11-11 13:33:19 |
| lume-model |
1.7.1 |
Data structures used in the LUME modeling toolset. |
2024-11-06 22:58:53 |
| xcs-rc |
1.2.4 |
Accuracy-based Learning Classifier Systems with Rule Combining |
2024-11-06 08:30:26 |
| DeepTile |
2.0.8 |
Large image tiling and stitching library for scaling Python functions to arbitrary input image sizes. |
2024-11-05 01:19:22 |
| heart-library |
0.4.4 |
Hardened Extension of the Adversarial Robustness Toolbox (HEART) supports assessment of adversarial AI vulnerabilities in Test & Evaluation workflows. |
2024-11-04 20:58:17 |
| photonai |
2.5.0 |
PHOTONAI is a high level python API for designing and optimizing machine learning pipelines. |
2024-11-04 14:00:25 |
| ctreelearn |
0.1.9 |
A simple library for learning of connected filters based on component trees |
2024-11-04 13:26:58 |
| h2o-client |
3.46.0.6 |
H2O, Fast Scalable Machine Learning, for python |
2024-11-02 07:09:26 |
| h2o |
3.46.0.6 |
H2O, Fast Scalable Machine Learning, for python |
2024-11-02 07:09:16 |
| qoa4ml |
0.3.17 |
Quality of Analysis for Machine Learning |
2024-11-01 12:59:48 |
| adaptivepca |
1.1.3 |
An advanced PCA implementation with adaptive feature scaling and preprocessing |
2024-10-31 03:51:45 |
| mmcfilters |
0.0.4 |
A simple library for connected filters based on morphological trees |
2024-10-30 14:01:38 |
| scaleup-optimizer |
1.0.9 |
This library is use to optimize hyperparameter of machine learning with scale up algorithm |
2024-10-30 03:53:02 |
| toyml |
0.4.0 |
ToyML: Machine Learning from Scratch |
2024-10-29 15:08:58 |
| PyTimbre |
0.9.7 |
Python conversion of Timbre Toolbox |
2024-10-25 18:49:59 |
| mitosis |
0.5.6 |
Reproduce Machine Learning experiments easily |
2024-10-24 21:23:46 |
| ml-experiment |
0.0.9 |
Machine Learning Experiment Framework |
2024-10-18 17:09:51 |
| hep-ml |
0.7.3 |
Machine Learning for High Energy Physics |
2024-10-16 21:52:19 |
| mlrose-ky |
1.1.6 |
MLROSe-ky: Machine Learning, Randomized Optimization and Search |
2024-10-12 22:21:51 |
| nnbma |
1.0.2 |
Neural network-based model approximation (nnbma) |
2024-10-02 11:35:29 |