Multi Select

Django admin filter for multiple select

A universal data processing framework with multi-engine support (pandas, Polars, Dask) and multi-format I/O (CSV, JSON, Parquet, ORC, Avro) with intelligent backend selection

Universal document converter with 250+ format combinations. Multi-page PDF to image conversion with page selection. OCR-powered image to Markdown for high-accuracy text extraction. Enhanced image support with PNG/JPEG/JPG/HEIC cross-conversions and PDF↔image conversions. Features PowerPoint to Obsidian Markdown with image extraction, format preservation, and navigation links. Supports PDF, DOCX, PPTX, MD, TEX, CSV, XLSX, TXT, HEIC, JPG, PNG, HTML, RTF, ODT.

Advanced SQL-to-code generator with intelligent auto-selection, multi-engine support, validation, and performance optimization

Select individually the product template visibility on each company

Multi-objective evolutionary feature selection.

Select individually the partner visibility on each company

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

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

A free multi-source GenAI orchestration library for automatic model selection and routing

A Python package for integrating scikit-learn feature selection with multi-label problem transformation methods.

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

Select individually the product template visibility on each company

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

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.

A multi-select button group

A multi-select button group

Tags multiple selection

Enterprise-grade AI agents for enhanced chatbot capabilities with RAG, security, and multi-user support

A robust and flexible Python package designed for selecting the most discriminatory features in both **binary and multi-class classification problems** using the Kolmogorov-Smirnov (K-S) test. It provides advanced options for handling multi-class scenarios and aggregating p-values.

Select individually the partner visibility on each company

Tags multiple selection

Interactive polygon annotation component for Gradio with multi-selection, hover effects, and customizable appearance

Select individually the partner 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.

Select individually the product template visibility on each company

Multi-model Feature Importance Scoring and Auto Feature Selection

A simple tool for selecting available GPUs on multi-GPU servers

Tags multiple selection

A lightweight Python library that automatically discovers, evaluates, and tunes parameters of multi-provider LLM pipelines to balance quality, cost, and latency.

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

Select individually the partner visibility on each company

Intelligent Multi-Model Router for LLM Selection

Select individually the partner visibility on each company

Select individually the product template visibility on each company

A Streamlit custom component for image selection with single and multi-selection support

Select individually the product visibility on each company

Select individually the partner visibility on each company

UniLVQ: A Unified Learning Vector Quantization Framework for Supervised Learning Tasks

Select individually the product visibility on each company

Feature Selection Module for Data Sciences in Python

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.

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

Intelligent AutoML Framework with comprehensive multi-metric evaluation and AI-driven optimization

Select individually the partner visibility on each company

Tags multiple selection

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

A multi-agent AI framework for collaborative scientific research, implementing tournament-based hypothesis evolution and peer review systems

Tags multiple selection