| Name | Version | Summary | date |
| newsegmentation |
1.4.0 |
Package for news segmentation architecture. |
2022-12-19 17:25:26 |
| STL10 |
0.0.4 |
Easy to use STL10 |
2022-12-19 14:13:27 |
| stl10 |
0.0.4 |
Easy to use STL10 |
2022-12-19 14:13:27 |
| thor-mlops |
0.0.19 |
Amazing ML ops for preprocessing, feature storage and inference |
2022-12-06 12:31:57 |
| vector-ai-ml |
0.0.3 |
A simple python vector package. |
2022-12-02 22:20:09 |
| datanectar |
0.1.7 |
Artifact tracking for luigi |
2022-12-02 02:53:24 |
| bruma |
0.1.0 |
Bruma |
2022-11-30 11:35:04 |
| bosque |
0.1.0 |
Bosque |
2022-11-30 11:33:34 |
| ciclon |
0.1.0 |
Ciclon |
2022-11-30 11:27:14 |
| extra-datascience-tools |
0.5.0 |
Python package which offers additional tools for data scientists. |
2022-11-30 10:13:30 |
| classy-core |
0.3.2 |
A powerful tool to train and use your classification models. |
2022-09-08 15:20:21 |
| balanced-loss |
0.1.0 |
Easy to use class-balanced cross-entropy and focal loss implementation for Pytorch. |
2022-07-21 21:04:12 |
| nlpaug |
1.1.11 |
Natural language processing augmentation library for deep neural networks |
2022-07-07 05:23:07 |
| yolo5 |
0.0.1 |
Packaged version of the Yolov5 object detector |
2021-05-28 21:52:49 |
| torch-summary |
1.4.5 |
Model summary in PyTorch, based off of the original torchsummary. |
2020-12-24 05:00:32 |
| cloudml-hypertune |
0.1.0.dev6 |
A library to report Google CloudML Engine HyperTune metrics. |
2019-12-18 22:43:48 |
| xgbfir |
0.3.1 |
Xgbfir is a XGBoost model dump parser, which ranks features as well as feature interactions by different metrics |
2017-11-10 03:33:56 |