Ensemble Python Packages

mljar-supervised

Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation

imbalanced-ensemble

[NeurIPS'25]🛠️Class-imbalanced Ensemble Learning Toolbox. | 类别不平衡/长尾机器学习库

a3m-router

⚡ Adaptive multi-model LLM router — 80+ providers, Jev System One single-pass routing (model=jev-auto), pheromone-trail failover, parallel ensemble merge. npm: adaptive-memory-multi-model-router

carefree-learn

Deep Learning ❤️ PyTorch

vecstack

Python package for stacking (machine learning technique)

vectrix

Zero-config time series forecasting for Python. 30+ models, auto selection, Forecast DNA, Rust turbo — one line of code.

autoemulate

Emulate simulations easily

torchensemble

A unified ensemble framework for PyTorch to improve the performance and robustness of your deep learning model.

ensembleperturbation

perturbation of coupled model input over a space of input variables

mlens

ML-Ensemble – high performance ensemble learning

shapley

The official implementation of "The Shapley Value of Classifiers in Ensemble Games" (CIKM 2021).

adanet

Fast and flexible AutoML with learning guarantees.

ensembler

Powerful stacking/blending ensemble implementation in python.

ensembleset

Ensemble dataset generator for tabular data prediction and modeling projects.

manyhands

Run several local OCR models over the same page and show which words they disagree on. Nothing leaves the machine.

merlin-systems

Merlin Systems provides tools for combining recommendation models with other elements of production recommender systems (like feature stores, nearest neighbor search, and exploration strategies) into end-to-end recommendation pipelines that can be served with Triton Inference Server.

a3m-mcp-server

⚡ Adaptive multi-model LLM router — 80+ providers, Jev System One single-pass routing (model=jev-auto), pheromone-trail failover, parallel ensemble merge. npm: adaptive-memory-multi-model-router

house-of-wisdom-mcp

House of Wisdom MCP: Multi-model consultation council. Diverse AI model families investigate independently and return their own perspectives; the orchestrator weighs them. Inspired by the medieval Bayt al-Hikma.

self-paced-ensemble

[ICDE'20] ⚖️ A general, efficient ensemble framework for imbalanced classification. | 泛用，高效，鲁棒的类别不平衡学习框架

openprism

Multi-model panel and judge (OpenRouter-Fusion style) for Claude Code, opencode, and any MCP host. Diverse models answer in parallel, then a judge reconciles them into one better answer.

ensemble-integration

Ensemble Integration: a customizable pipeline for generating multi-modal, heterogeneous ensembles

build-engine

Source-visible proprietary adaptive prediction engine for forecasting, backtests, and model feedback loops; live broker mode is explicit and private-risk gated.

hrtx

Multi-Modal Multi-Embodied Hivemind-like Iteration of RTX-2

chimeric-tools

https://computationaluncertaintylab.github.io/chimeric-tools/