Multi Select

Django admin filter for multiple select

DeepCoMP: Self-Learning Dynamic Multi-Cell Selection for Coordinated Multipoint (CoMP)

Select individually the partner visibility on each company

Multi-objective evolutionary feature selection.

Feature Selection using Metaheuristics Made Easy: Open Source MAFESE Library in Python

MSDA - An open source, low-code time-series multi-sensor data analysis, unsupervised feature selection, deep unsupervised anomaly detection & explainable time-series predictor library in Python.

MetaCluster: An Open-Source Python Library for Metaheuristic-based Clustering Problems

Select individually the product template visibility on each company

Select individually the product template visibility on each company

A multi-select button group

Multi-model Feature Importance Scoring and Auto Feature Selection

Feature Selection Module for Data Sciences in Python

Select individually the partner visibility on each company

Tags multiple selection

Tags multiple selection

Automatic Deep Learning, towards fully automated multi-label classification for image, video, text, speech, tabular data.

A multi-select button group

Tags multiple selection

Select individually the partner visibility on each company

A custom PyQt6 widget providing a multi-select combobox functionality for PyQt6 applications.

Select individually the partner visibility on each company

Select individually the product template visibility on each company

Select individually the product template visibility on each company

Select individually the partner visibility on each company

Select individually the partner visibility on each company

Using Kazoo to implement specific features of ZooKeeper, such as: program survival monitoring (alive), global configuration, single-point resource lock, and multi-selection resource lock.

Select individually the partner visibility on each company

Streamlit component that allows you to render a menu widget with multiple columns but with only one globally selected value. It is possible to use photos for background inside the menu buttons.

Select individually the product visibility on each company

Allows setting multiple VAT numbers on any partner and select the right one depending on the fiscal position and delivery address of the invoice.

Allows setting multiple VAT numbers on any partner and select the right one depending on the fiscal position and delivery address of the invoice.

Select individually the product visibility on each company

Select individually the partner visibility on each company

Tags multiple selection

Streamlit component that allows you to choose multi selection but not extend your widget

Select individually the product template visibility on each company

Tags multiple selection

Select individually the product template visibility on each company

Allows setting multiple VAT numbers on any partner and select the right one depending on the fiscal position and delivery address of the invoice.

This module allows a shortcut to add purchase.order.line by selecting product into a wizard for the given suplier

One-class Classifier Dynamic Ensemble Selection for Multi-class problems

Multi armed bandit feature selection

A module for selecting an item from a list of multi-field data in terminal

multi select dropdown

using multi template on one view_config

Pure javascript files upload tool for Plone, with drag and drop, multi selection, and progress bar.

Multi select2 4.0 widget based on JQuery and z3c.form for Zope 3

Multi Feature Selection

A toolkit for use with pytorch. Self-contained imperative programming, highly customizable, comes with its own instruction controller oriented to complex processes (partly multithreaded parallel, partly sequential serial, and able to be nested). Has built-in features to instantly visualize the training process (highly customizable), generate logs, auto-save, pause and resume training, automatic device selection, etc., and thanks to the use of multi-threading, it has no impact on the training speed at all.

Package with basic implementations of mono and multi-objective genetic algorithms for feature selection.