AlphaEvolve 的开源实现
llm-ensemble 开源项目推荐(27 个)
llm-ensemble 话题在 GitHub 上没有填写简介,这里按 Star 数汇总最相关的热门仓库。
热门项目 前 20
按 Star 数排序展示前 20 个 · GitHub 共 27 个仓库OpenAlpha_Evolve是一个开源Python框架,其灵感来自DeepMind的AlphaEvolve等自主编码代理的突破性研究。
LoongFlow is an expert-grade Agent framework for Loop Engineering. Through a Plan-Execute-Summary loop and structured experiential memory, it enables AI to continuously think, execute, reflect, and evolve across complex software engineering, mathematical, and machine learning tasks.
A curated list of Awesome-LLM-Ensemble papers for the survey "Harnessing Multiple Large Language Models: A Survey on LLM Ensemble"
CodeEvolve is an open-source evolutionary coding agent for algorithm discovery and optimization.
🧠 A council of AI models for the decisions that aren't no-brainers — they answer in parallel, debate to consensus, or get judged to a verdict. Browser-only, open source, bring your own keys (BYOK), no backend.
Ask, compare, and synthesize across 10 LLM providers. Python SDK, CLI, local Arena, MCP, and privacy-aware
Multi-AI consensus MCP server that queries multiple AI models (OpenAI, Claude, Gemini, custom APIs) in parallel and synthesizes responses to reduce bias and improve accuracy. A Python implementation of the wisdom-of-crowds approach for AI decision making.
[ICML2026] The official code of "Beyond Gemini-3-Pro: Revisiting LLM Routing and Aggregation at Scale"
Self-hosted Fusion API and OpenRouter Fusion alternative for building reliable multi-model LLM ensembles — fan out one prompt to N models, then synthesize one answer with a judge model. OpenAI-compatible API, CLI, and eval harness.
Open-source Multi-LLM Ensemble & Scripture RAG platform delivering Bhagavad Gita guidance with zero-hallucination, page-level citations across 5,000+ commentary pages. Built with FastAPI, Next.js 15, and Weaviate.
Multi-model deliberation as a Swift primitive — ask several LLMs one question, blind peer review, a divergence score, and the dissenting view.
Official code for When to Ensemble: Identifying Token-Level Points for Stable and Fast LLM Ensembling (ICLR'26)
Agent Huddle: multi-model AI discussion and LLM deliberation workspace for layered reasoning, AI agents workflows, and OpenAI-compatible model orchestration.
Fuses two System-1 decision models (Laya + Jev) into one auditable verdict — confidence-weighted fusion, disagreement escalation to a local adjudicator, append-only JSON decision logs.
OpenAI-compatible multi-LLM ensemble proxy with Chairman fusion. Drop-in for any chat completions client.
One AI assistance architecture, stated so it can be run: isolated generation, blind consolidation, and two critics from different vendors. Accompanies SSRN 7120940.
End-to-end Python research pipeline replicating "Beyond Benchmark Rankings": treats LLM selection as portfolio construction rather than leaderboard ranking. Estimates marginal utility, informational novelty, and correlated-failure risk per model, then runs budget-feasible greedy optimization to select LLM ensembles.
A Claude Code skill that fans one hard question out to several frontier models (GPT-5.5, Gemini, Kimi, GLM) blind and in parallel, then has Opus 4.8 judge and synthesize one grounded answer. Multi-model test-time scaling with independence enforced and the judge kept separate from the panel.
Accelerate frontier LLM post-training with a production-grade, agentic reinforcement learning framework validated for scalable, high-efficiency training.
关于这个话题
- 清单取自 GitHub 话题页并按 Star 数排序,每次展示前 20 个项目;原始页面见 https://github.com/topics/llm-ensemble。
- 该话题在 GitHub 上共有 27 个仓库, 本站收录的是其中最热门的 20 个,不是全量列表。
- Star / Fork 每日自动刷新一次,实时数据以 GitHub 为准。
- 当前 20 个项目累计 9818 Star,覆盖 6 种主要语言,数据更新于 2026-11-07。
- 中文介绍来自 GitHub 官方话题说明(github/explore)的机器翻译,可点「查看原文」对照;译文缺失时会先展示原文。