| Name | Version | Summary | date |
| IoTNetworkMalwareClassifier |
0.0.20 |
🛡️ The IoT Network Malware Classifier 🚀 is an advanced solution tackling security concerns in IoT, employing deep learning for precise malware detection in network traffic. |
2024-05-04 10:47:57 |
| pycaleva |
0.8.2 |
A framework for calibration evaluation of binary classification models |
2024-05-02 20:51:08 |
| multimodelclassify |
0.2 |
A class to allow to compare the performance of classification between multiple classification models |
2024-05-02 12:50:21 |
| sklearn-ml |
2.2 |
A light package build on scikit-learn, which is used for machine learning missions.By using it, you could conveniently train and use models at the same time, and do some model comparison. |
2024-04-25 14:40:23 |
| deepliif |
1.1.10 |
DeepLIIF: Deep-Learning Inferred Multiplex Immunofluorescence for Immunohistochemical Image Quantification |
2024-04-23 21:27:28 |
| scorecard-generator |
2.2.0 |
A Python Library for Creating Scorecards From Classification Models. |
2024-04-09 22:46:31 |
| seesus |
1.2.1 |
a social, environmental, and economic sustainability classifier based on the UN Sustainable Development Goals |
2024-04-09 20:49:29 |
| feature-engineering |
2.1.4 |
Unleash the Power of Your Data with Feature Engineering: The Ultimate Python Library for Machine Learning Preprocessing and Enhancement |
2024-04-09 02:00:21 |
| deforce |
1.0.0 |
deforce: Derivative-Free Algorithms for Optimizing Cascade Forward Neural Networks |
2024-04-06 15:43:35 |
| qub-sherlock |
2.3.0 |
mine a library of historical and on-going astronomical survey data in an attempt to identify the sources of transient/variable events, and predict their classifications based on crossmatched data |
2023-09-21 12:47:58 |