AlphaEvolve 的开源实现
iterative-refinement 开源项目推荐(35 个)
iterative-refinement 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 35 个仓库借助 AI 驱动的 Reflective Optimization 优化提示词、代码及更多内容
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。
Official Implementation for "ReStyle: A Residual-Based StyleGAN Encoder via Iterative Refinement" (ICCV 2021) https://arxiv.org/abs/2104.02699
LoongFlow 是一个面向循环工程的专家级 Agent 框架。通过“计划-执行-总结”循环和结构化经验记忆,它使 AI 能够在复杂的软件工程、数学和机器学习任务中持续思考、执行、反思和进化。
Lightweight Event-based Optical Flow Estimation via Iterative Deblurring
Probabilistic Downscaling of Climate Variables Using Denoising Diffusion Probabilistic Models
Installable Codex skill for long-running autonomous coding refinement loops with validation and resumable state
Mulitprecision Arrays
Enable Codex to run objective-first autonomous loops with mandatory review and optional verification for long-running task completion
For our AAAI25 paper LATTE: Improving Latex Recognition for Tables and Formulae with Iterative Refinement by Nan Jiang, Shanchao Liang, Chengxiao Wang, Jiannan Wang, and Lin Tan
Core part of HPL-AI implementation based on HPL-2.3. For the complete version of our HPL-AI benchmark, please go to the following site.
Minimizing Cost and Risk Using Bayesian Estimation and Gaussian Process Regression
AI-powered business analyst agent with multi-agent collaboration workflow for iterative project specification refinement
AI quality method for validating LLM output against predefined criteria. Includes a builder-critic workflow, evidence checks, cost limits and stopping conditions.
CodeOpt: A framework for optimizing code performance using Two-Stage Sampling, Few-Shot Learning, and Iterative Self-Reflection with support for Genetic Algorithm Inspired Chain-of-Thought (GA-COT).
Neural Field Turing Machines for iterative image inpainting and denoising. BDMA research project extending the NFTM pipeline (Malhotra & Seghouani, 2025) to CelebA-HQ and real camera noise (SIDD), with comparisons against U-Net, TV-L1 and DDPM baselines.
Post-it technique et prompt-template prêt à l'emploi pour le Loop Engineering : boucle Producteur / Contrôleur Qualité en session unique avec un LLM (ChatGPT, Claude...). Document Markdown unique à copier-coller comme prompt système, avec plafond d'itérations, points de contrôle humains et critères de qualité mesurables, propres à la tâche.
Cost-aware multi-agent LLM framework with quality gates. Simple questions: 1 call. Code tasks: writer+reviewer loop.
Code for student-code guided test case generation for CS Education.
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/iterative-refinement。
- 该话题在 GitHub 上共有 35 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 1.8 万 Star,覆盖 6 种主要语言,数据更新于 2026-11-08。
- 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。