| Name | Version | Summary | date |
| nlpaug |
1.1.11 |
Natural language processing augmentation library for deep neural networks |
2022-07-07 05:23:07 |
| combo |
0.1.3 |
A Python Toolbox for Machine Learning Model Combination |
2022-04-02 16:20:07 |
| xgbimputer |
0.2.0 |
Extreme Gradient Boosting imputer for Machine Learning. |
2022-03-14 18:42:00 |
| gsitk |
0.2.5 |
gsitk is a library on top of scikit-learn that eases the development process on NLP machine learning driven projects. |
2022-01-26 13:19:42 |
| bert-extractive-summarizer |
0.10.1 |
Extractive Text Summarization with BERT |
2022-01-04 00:30:13 |
| tfaip |
1.2.6 |
|
2021-10-13 11:48:45 |
| qudida |
0.0.4 |
QUick and DIrty Domain Adaptation |
2021-08-09 16:47:55 |
| collinearity |
0.6.1 |
A Python library for removing collinearity in machine learning datasets |
2021-06-25 10:31:45 |
| cypml |
1.2.6 |
Machine learning baseline for crop yield forecasting |
2021-06-02 09:57:50 |
| nvidia-pyindex |
1.0.9 |
A tool that adds the NVIDIA PIP Index to the environment. |
2021-05-21 02:19:27 |
| hilearn |
0.2.2 |
HiLearn: A small library of machine learning methods. |
2021-03-07 11:35:48 |
| pmlb |
1.0.1.post3 |
A Python wrapper for the Penn Machine Learning Benchmark data repository. |
2020-09-10 22:53:54 |
| pytreebank |
0.2.7 |
Python package for loading Stanford Sentiment Treebank corpus |
2020-02-18 06:04:51 |
| imgaug |
0.4.0 |
Image augmentation library for deep neural networks |
2020-02-05 20:54:24 |
| test-tube |
0.7.5 |
Experiment logger and visualizer |
2019-12-01 01:19:50 |
| nimfa |
1.4.0 |
A Python module for nonnegative matrix factorization |
2019-10-10 00:03:15 |
| FlowSom |
0.1.1 |
A Python implementation of FlowSOM algorithm for clustering and visualizing a mass cytometry data set. |
2019-05-12 23:55:06 |
| 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 |