Multi Select

graphsift: intelligent code context selection for LLMs. AST dependency graph, BM25+graph ranked relevance, token-budget-aware selection, 14 languages, decorator+dynamic import edges, 80-150x token reduction. Beats code-review-graph (F1 0.85 vs 0.54).

Django admin filter for multiple select

Outcome-aware LLM routing for production AI agents. Routes between models, tools, and parameters based on real success signals using Thompson Sampling. Automatic fallback, cost optimization, and continuous learning — no redeploy required.

Train a Double DQN router that selects an optimal subset of agents for any multi-agent system.

Variance Alignment Diagnostic (VAD) for assessing whether variance-based feature filtering is likely safe or harmful

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

High-performance download library with multi-threaded segmented downloading, intelligent strategy selection, and adaptive optimization.

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

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.

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Multi-objective trade-study orchestration: scoring, Pareto optimization, and Bayesian stacking

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

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

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

A research-grade agentic framework that enables large language models to autonomously plan tasks, select appropriate agents, and orchestrate multi-step execution without hard-coded routing logic.

Multi-objective evolutionary feature selection.

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

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

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

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

A fast, keyboard-driven terminal UI for exploring AWX/Ansible logs with multi-select filtering, error navigation, and collapsible sections.

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

SAGE: Simple AI Guidance Engine - Multi-provider AI assistant MCP server with intelligent mode selection and smart file handling

Multi-model Feature Importance Scoring and Auto Feature Selection

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

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.

High-performance multi-agent AI framework — 100M agent scale, selective LLM reasoning

Tags multiple selection

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

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

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

MOOSE-FS: Multi-Objective Optimized Ensemble Feature Selection

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

A multi-select button group

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.

Tags multiple selection

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

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.

Feature Selection Module for Data Sciences in Python

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Intelligent Multi-Model Router for LLM Selection

A Windows 11 Fluent Design styled multi-select combo box for PyQt6

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

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

Tags multiple selection

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