| Name | Version | Summary | date |
| Outlyzer |
0.0.4 |
Outlier detection |
2023-05-13 09:52:12 |
| gsbfs |
0.0.1 |
Gram-Schmidt Boruta Feature Selection. |
2023-05-11 16:31:24 |
| mlflavors |
0.1.0 |
MLflavors: A collection of custom MLflow flavors. |
2023-05-10 13:31:52 |
| fcpgtools |
2.0.4 |
Tools to create Flow-Conditioned Parameter Grids (FCPGs) from Flow Direction Rasters (FDRs) and arbitrary rasterized parameter data. |
2023-05-09 21:45:24 |
| weasel-classifier |
0.1.5 |
A Random Dilated Dictionary Transform for Fast, Accurate and Constrained Memory Time Series Classification |
2023-05-08 20:34:58 |
| winorwin |
0.0.10 |
winorwin: do stuff |
2023-05-07 12:11:19 |
| happy-learning |
0.5.0 |
Toolbox for reinforced developing of machine learning models (as proof-of-concept) |
2023-05-06 12:10:46 |
| fold-models |
0.1.2 |
Models for fold. |
2023-05-03 08:52:28 |
| model-inspector |
0.27.4 |
Inspect machine learning models |
2023-04-27 14:37:41 |
| nemo-bo |
0.1.16 |
Multi-objective optimization of chemical processes with automated machine learning workflows |
2023-04-24 14:45:40 |
| extrinsic |
0.0.0 |
Lineage and and metadata tracking for AI/ML workflows |
2023-04-20 09:29:28 |
| lineageai |
0.0.0 |
Lineage and and metadata tracking for AI/ML workflows |
2023-04-20 09:23:54 |
| dress-diff |
0.1.0 |
Stable Diffusion |
2023-04-16 19:25:58 |
| easyexplore |
0.7.4 |
Toolbox for easy and effective data exploration |
2023-04-16 18:43:38 |
| mofdscribe |
0.0.8 |
Ecosystem for digital reticular chemistry |
2023-04-12 13:54:07 |
| probnum |
0.1.25 |
Probabilistic Numerics in Python. |
2023-04-03 08:53:26 |
| tartrl-nightly |
0.0.4 |
reinforcement learning framework |
2023-03-31 11:59:08 |
| tartrl |
0.0.2 |
reinforcement learning framework |
2023-03-31 11:35:44 |
| ltn |
2.1 |
Logic Tensor Networks |
2023-03-31 04:59:07 |
| yolotest |
8.0.60 |
Ultralytics YOLOv8 |
2023-03-28 14:47:08 |