Multi Select

Django admin filter for multiple select

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

Adaptive Multi Mode (AMM): budget-aware routing of derivative-free optimizers by online landscape probes (import amm_optimizer)

A configuration-driven AutoML orchestrator for tabular regression: automated model selection and multi-step hyperparameter optimization.

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

Multi-LLM router MCP server — smart complexity routing, budget-aware model selection, 20+ providers (Claude, OpenAI, Gemini, Ollama, etc.)

Verification-first multi-vendor commissioning control plane with flexible guided customer-file intake, deterministic source/evidence authority, exact-Twin lineage, regression, FAT reporting, and pre-site readiness.

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.

Select individually the partner visibility on each company

Axiomize 2.0: scientific modeling engine plus quantum-inspired multi-branch reasoning and Model IR selection

Multi Feature Selection

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

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

Auto-selects cheapest capable LLM from 47+ providers — 70-95% cost savings

Cut LLM prompt token costs by 30-40% with deterministic, training-free lexical compression for OpenAI, Anthropic, Gemini and any LLM API. Zone-aware compression protects JSON schemas and output formats; PDFs and Word files reduce to Markdown. Includes a 6-metric quality evaluator. The optional agent extra adds a local-first chat app: a local Ollama model answers what it can, a router escalates the rest to the cheapest frontier model, with automatic RAG, rolling chat summaries and a token ledger in SQLite.

Select individually the product template visibility on each company

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

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

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

Difficulty-aware routing and model selection for multi-agent LLM workflows

AI decision control plane: route each request to the best LLM, agent, skill, persona, tool or human under hard constraints, and learn from outcomes.

The first autonomous routing system for AI agents. Routes to the optimal execution path to prevent failures, degradations, and cost spikes before they impact users.

Centrality-aware GraphRAG retrieval planner — drop-in layer over any vector DB

AgentMesh trust layer for CrewAI — trust-verified crew member selection and capability-gated task assignment

Pre-inference routing for tool-rich LLMs and multi-agent systems with MCP, A2A, LangGraph, AutoGen, policy-aware routing, recovery, and reproducible evaluation.

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

A declarative pipeline DSL with e-graph multi-path selection

Kneeliverse: A Universal Knee/Elbow Detection Library for Performance Curves

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

Deterministic policy engine for LLM-generated SQL: SELECT-only, PII column denylist, table allowlist, cost cap. Multi-dialect via sqlglot (BigQuery, Snowflake, Postgres, Trino, …).

Selective re-verification of safety/compliance constraints across multi-step AI processes

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

scikit-learn hyperparameter search with multi-fidelity data growth and scatter-search multi-start: a from-scratch Bayesian (GP + Expected Improvement) search, BayesHalvingSearchCV, plus a Hooke-Jeeves pattern search, PatternSearchCV

DECANT prioritizes biological heterogeneity over batch effects during feature selection for single-cell multi-omics data.

Knowledge-driven multi-agent orchestration with LLM-powered query analysis and intelligent agent selection

Multi-agent extraction of structured, verified biomedical evidence from PubMed/PMC into an Open Knowledge Format bundle — for downstream feature construction, engineering, and selection.

Multi-objective evolutionary feature selection.

using multi template on one view_config

Lightweight exploratory-data-analysis, cleaning, feature-engineering, selection and baseline-modeling helpers: one line of code -> a rich table, a multi-panel plot, and a decision sentence, on top of pandas / scikit-learn.

Multi-backend Physics-Informed Neural Network (PINN) framework for solving, animating, and cross-validating ODEs/PDEs, with 50+ built-in equations, SDF-based geometry/CSG, and automatic architecture 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.

Intelligent Multi-Model Router for LLM Selection

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

cosmicPAHmfit provides a multi-component spectral fit and a graphical interface to derive area-weighted peak position and width of selected infrared features.

Multi-model Feature Importance Scoring and Auto Feature Selection

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

Thermodynamic routing of multi-reference quantum chemistry: C/T skeleton pre-screening and MGE-based active-space selection for CASSCF

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.

Deterministic governance adapter for AG2 (AutoGen fork) — policy enforcement, PII detection, cost tracking, per-agent kill switch, governed speaker selection, and structured audit evidence. No LLM in the governance path.