| Name | Version | Summary | date |
| 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 |
| ocrd-fork-tfaip |
1.2.7 |
Python-based research framework for developing, organizing, and deploying Deep Learning models powered by Tensorflow. |
2024-09-28 22:12:14 |
| scikit-multimodallearn |
0.0.2 |
A scikit-learn compatible package for multimodal Classifiers |
2024-09-26 13:16:41 |
| mlrl-boomer |
0.11.1 |
A scikit-learn implementation of BOOMER - an algorithm for learning gradient boosted multi-label classification rules |
2024-09-24 21:25:46 |
| mlrl-seco |
0.11.1 |
A scikit-learn implementation of a separate-and-conquer multi-label rule learning algorithm |
2024-09-24 21:24:45 |
| mlrl-common |
0.11.1 |
Provides common modules to be used by different types of multi-label rule learning algorithms |
2024-09-24 21:23:57 |
| mlrl-testbed |
0.11.1 |
Provides utilities for the training and evaluation of machine learning algorithms |
2024-09-24 21:20:01 |
| ageml |
0.2.0 |
AgeML is a Python package for Age Modelling with Machine Learning made easy. |
2024-09-24 09:15:38 |
| flogging |
0.0.23 |
flogging nice logging formatting and structured logging. |
2024-09-23 16:16:20 |
| dimlpfidex |
1.0.1 |
Discretized Interpretable Multi Layer Perceptron (DIMLP) and related algorithms |
2024-09-19 09:33:20 |
| pyrlutils |
0.0.3 |
Utility and Helpers for Reinformcement Learning |
2024-09-18 03:07:07 |
| daal4py |
2024.7.0 |
daal4py is a Convenient Python API to the Intel® oneAPI Data Analytics Library (oneDAL) |
2024-09-17 16:36:32 |
| QuaPy |
0.1.9 |
QuaPy: a framework for Quantification in Python |
2024-09-17 10:06:15 |
| simplexers |
1.0.0 |
Vector Projections onto Positive and Capped Simplices |
2024-09-16 12:36:23 |
| memorial |
0.0.8 |
Replay Buffer Implementations for RL |
2024-09-15 05:37:19 |
| ml4xcube |
1.1.0 |
ML package for data cubes |
2024-09-06 16:42:19 |
| mlxplain |
1.0.4 |
An open platform for accelerating the development of eXplainable AI systems |
2024-09-04 13:59:03 |
| reax |
0.2.0 |
REAX: A simple training framework for JAX-based projects |
2024-09-04 12:29:13 |
| rules-extraction |
0.1.4 |
Rules extraction for eXplainable AI |
2024-08-29 12:39:23 |