| Name | Version | Summary | date |
| penlm |
1.1.0 |
Penalized Linear Models for Classification and Regression |
2024-07-28 17:10:52 |
| TTASSL |
0.0.17 |
API that provides methods to annotate binnary classification images using Topological Data Analysis techniques. |
2024-07-12 08:17:52 |
| ppRank |
1.1 |
Bi-objective Lexicographical Classification and Par10 Ranking |
2024-06-26 23:37:45 |
| hellsicht |
0.1.1 |
Extendable tool for having a first view on data and categorize data structures |
2024-06-23 16:35:13 |
| sed-scores-eval |
0.0.4 |
(Threshold-Independent) Evaluation of Sound Event Detection Scores |
2024-05-23 19:52:56 |
| fast-fit |
1.2.1 |
Fast and effective approach for few shot with many classes |
2024-05-08 20:55:00 |
| LANDMarkClassifier |
2.1.1 |
LANDMark: An ensemble approach to the supervised selection of biomarkers in high-throughput sequencing data |
2024-04-27 05:00:27 |
| prophyle |
0.3.3.2 |
ProPhyle metagenomic classifier |
2024-04-21 15:31:41 |
| BiObjClass |
1.0.2 |
Bi-objective Lexicographical Classification |
2024-04-15 19:38:08 |
| BiObjClassification |
0.0.1 |
Bi-objective Lexicographical Classification |
2024-04-15 18:15:42 |
| cognitive-service-vision-model-customization-python-samples |
0.0.6 |
A sample code repo for model customization using Python for Cognitive Service for Vision. |
2024-04-11 16:36:53 |
| sclassifier |
1.0.6 |
Source classification using supervised and self-supervised learning |
2024-03-18 16:18:43 |
| fedot-ind |
0.4.1.2 |
Automated machine learning framework for time series analysis |
2024-03-07 12:51:52 |
| example-package-elisno |
2.6.23 |
The standard package for data-centric AI, machine learning with label errors, and automatically finding and fixing dataset issues in Python. |
2024-03-04 17:36:28 |
| permetrics |
2.0.0 |
PerMetrics: A Framework of Performance Metrics for Machine Learning Models |
2024-02-24 07:58:00 |
| polyssifier |
1.0.10 |
Data exploration tool for assessing optimal classification methods |
2024-02-22 21:44:27 |
| CSF-3DFin |
1.3.0 |
CSF: Ground Filtering based on Cloth Simulation |
2024-02-20 13:15:17 |
| bireyselvalue |
2.1.0 |
TEST ON V.1 of THE BireyselValue Algorithm FOR CLASSIFICATION PROBLEMS |
2024-02-16 10:36:15 |
| adaptivebridge |
1.1.0 |
Revolutionizing ML adaptive modelling for handling missing features and data. The model can predict missing data in real-world scenarios. |
2024-01-29 13:21:58 |
| buildml |
1.0.9 |
Let's make building machine learning models the complex way, easy. |
2024-01-27 08:06:46 |