Open-source implementation of AlphaEvolve

Official Implementation for "ReStyle: A Residual-Based StyleGAN Encoder via Iterative Refinement" (ICCV 2021) https://arxiv.org/abs/2104.02699

OpenAlpha_Evolve is an open-source Python framework inspired by the groundbreaking research on autonomous coding agents like DeepMind's AlphaEvolve.

Lightweight Event-based Optical Flow Estimation via Iterative Deblurring

Probabilistic Downscaling of Climate Variables Using Denoising Diffusion Probabilistic Models

Mulitprecision Arrays

MCP server for iterative refinement through self-critique cycles. Based on Hank Besser's recursive-companion, adds incremental processing to avoid timeouts.

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

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).

Code for student-code guided test case generation for CS Education.

A document summarization engine using local LLM inference with Ollama. Processes large documents through intelligent chunking and context-preserving summarization, featuring a Streamlit interface with real-time tracking. Built with Python for API and standalone use.

Numerical methods for solving systems of linear equations

Iterative Autolabeling

Integrated diagnostic pipeline for conservation of mold-contaminated paper-based cultural heritage artifacts