| Name | Version | Summary | date |
| adaptivepca |
1.1.3 |
An advanced PCA implementation with adaptive feature scaling and preprocessing |
2024-10-31 03:51:45 |
| EEG-Classifiers-Ensemble |
0.1.6 |
Tools for processing and classifying EEG tasks in real-time. |
2024-10-26 13:50:43 |
| randomscm |
0.1.2 |
The Bootstrap aggregating version of the great SCM |
2024-10-18 11:37:46 |
| brif |
1.4.5 |
Build decision trees and random forests for classification and regression. |
2024-10-15 19:26:10 |
| websiteclassificationapi |
2.5 |
Website classification API |
2024-10-10 14:47:06 |
| intelelm |
1.2.0 |
IntelELM: A Python Framework for Intelligent Metaheuristic-based Extreme Learning Machine |
2024-10-09 06:10:03 |
| mat-classification |
0.1rc1 |
MAT-classification: Analysis and Classification methods for Multiple Aspect Trajectory Data Mining |
2024-10-02 03:47:41 |
| asgl |
2.1.2 |
A regression solver for high dimensional penalized linear, quantile and logistic regression models |
2024-10-01 19:33:17 |
| cleanlab |
2.7.0 |
The standard package for data-centric AI, machine learning with label errors, and automatically finding and fixing dataset issues in Python. |
2024-09-26 16:50:28 |
| scikit-multimodallearn |
0.0.2 |
A scikit-learn compatible package for multimodal Classifiers |
2024-09-26 13:16:41 |
| pypots |
0.8.1 |
A Python Toolbox for Machine Learning on Partially-Observed Time Series |
2024-09-26 05:57:24 |
| construct-tracker |
1.0.9 |
Track and measure constructs, concepts or categories in text documents. |
2024-09-17 14:07:38 |
| GlyCONFORMER |
1.1.2 |
GlyCONFORMERS is a Python package that assigns conformer strings to N-glycan conformers, based on their torsion angle values. |
2024-09-17 11:31:16 |
| QuaPy |
0.1.9 |
QuaPy: a framework for Quantification in Python |
2024-09-17 10:06:15 |
| ai4ts |
0.0.3 |
AI for Time Series |
2024-09-14 02:08:54 |
| TimeSeriesAI |
0.0.0 |
AI for Time Series |
2024-09-07 16:53:00 |
| prompt-protect |
0.1 |
An NLP classification for detecting prompt injection |
2024-09-02 22:57:55 |
| HROCH |
1.4.12 |
Symbolic regression and classification |
2024-08-31 16:12:23 |
| benchpots |
0.2.2 |
A Python Toolbox for Benchmarking Machine Learning on Partially-Observed Time Series |
2024-08-14 17:38:01 |
| momentfm |
0.1.1 |
MOMENT: A Family of Open Time Series Foundation Models |
2024-08-09 02:39:19 |