| Name | Version | Summary | date |
| ecg-quality |
0.2.0 |
Library that classifies quality of ECG signal using deep learning methods |
2023-05-20 19:55:05 |
| TriModelSystem |
0.0.2 |
Tri-Model Ensemble System for Classification |
2023-05-17 00:49:01 |
| MetaSBT |
0.1.2 |
A scalable framework for automatically indexing microbial genomes and accurately characterizing metagenome-assembled genomes with sequence bloom trees |
2023-05-16 19:03:02 |
| sleepens |
1.0.3 |
Sleep Classification using Ensemble Classification |
2023-05-15 22:45:04 |
| compact-distillation |
0.0.34 |
API that provides methods to construct deep compact classification models using semi-supervised methods. |
2023-05-09 08:35:36 |
| 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 |
| wildbook-ia |
4.0.4 |
Wildbook IA (WBIA) - Machine learning service for the WildBook project |
2023-04-25 06:47:54 |
| muCART |
1.0.2 |
Measure Inducing Classification and Regression Trees |
2023-04-23 17:22:04 |
| cloth-simulation |
1.1.3 |
CSF: Ground Filtering based on Cloth Simulation |
2023-04-20 11:29:55 |
| mdfs |
1.5.2 |
A library for MultiDimensional Feature Selection (MDFS) |
2023-04-19 08:13:54 |
| imbalance-metrics |
0.0.5 |
Perfromance metrics for imbalanced classification and imbalanced regression tasks |
2023-04-15 18:38:19 |
| insights-extractor |
0.1.1 |
Efficient PDF analysis, text extraction, preprocessing, and pattern recognition with customizable configurations and utilities. |
2023-04-14 04:09:46 |
| imbalanced-metrics |
0.0.3 |
Perfromance metrics for imbalanced classification and imbalanced regression tasks |
2023-04-14 03:05:07 |
| wittgenstein |
0.3.4 |
Ruleset covering algorithms for explainable machine learning |
2023-04-03 22:00:12 |
| vismo |
0.0.0 |
Pytorch Vision Models |
2023-04-01 16:32:49 |
| netcal |
1.3.5 |
The net:cal calibration framework is a Python 3 library for measuring and mitigating miscalibration of uncertainty estimates, e.g., by a neural network. |
2023-03-28 07:15:35 |
| rrllm |
0.1.5 |
Rubin's rules to account for performance instability of LLMs |
2023-03-20 19:29:16 |
| pydl8.5 |
0.1.8 |
A package to build an optimal binary decision tree classifier. |
2023-03-19 16:52:08 |
| nudeny-py |
0.0.2 |
Image nudity classification and detection package. |
2023-03-15 14:15:27 |
| binclass-tools |
1.1.2 |
A set of tools that facilitates the analysis of binary classification problems |
2023-03-13 16:53:39 |