| Name | Version | Summary | date |
| capymoa |
0.1.1 |
Python wrapper for MOA to allow efficient use of existing algorithms with a more modern API. |
2024-05-03 07:29:25 |
| mecoda-orange |
2.3.6 |
Orange Data Minining Add-on containing MECODA widgets to analyse data from citizen science observatories |
2024-05-02 15:38:05 |
| upgini |
1.1.279 |
Intelligent data search & enrichment for Machine Learning |
2024-05-01 20:05:48 |
| pypots |
0.4.1 |
A Python Toolbox for Data Mining on Partially-Observed Time Series |
2024-04-17 16:07:10 |
| TimeFeatures |
1.0.15 |
Timefeatures add-on for Orange 3 data mining software. |
2024-04-13 00:44:56 |
| mlpack |
4.3.0.post2 |
a flexible, fast machine learning library |
2024-04-10 13:40:15 |
| mljar-supervised |
1.1.7 |
Automated Machine Learning for Humans |
2024-04-10 12:40:10 |
| pcy-algo |
0.0.2 |
PCY implementation in association rule mining |
2024-04-10 01:18:16 |
| h2o-pysparkling-scoring-2.4 |
3.46.0.1.post1 |
Sparkling Water integrates H2O's Fast Scalable Machine Learning with Spark |
2024-04-08 14:21:59 |
| h2o-pysparkling-2.4 |
3.46.0.1.post1 |
Sparkling Water integrates H2O's Fast Scalable Machine Learning with Spark |
2024-04-08 14:21:48 |
| h2o-pysparkling-scoring-2.3 |
3.46.0.1.post1 |
Sparkling Water integrates H2O's Fast Scalable Machine Learning with Spark |
2024-04-08 14:21:32 |
| h2o-pysparkling-2.3 |
3.46.0.1.post1 |
Sparkling Water integrates H2O's Fast Scalable Machine Learning with Spark |
2024-04-08 14:21:21 |
| sport-activities-features |
0.4.0 |
A minimalistic toolbox for extracting features from sport activity files |
2024-03-29 10:13:46 |
| ast-monitor |
0.5.0 |
AST-Monitor is a wearable Raspberry Pi computer for cyclists |
2024-03-25 14:07:50 |