Evolving simple organisms using a genetic algorithm and deep learning from scratch with python
evolutionary-optimization 开源项目推荐(18 个)
evolutionary-optimization 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 全部 18
GitHub 共 18 个仓库,已全部展示Graph Optimiser for Learning and Evolution of Models
Implementation of NSGA-II in Python
Meta-black-box Optimization Platform
A Fortran 95 code for Particle Swarm Optimization. The code is general. The fitness function is defined in a separate file and can be replaced by any user defined fitness function.
Evolving agent harnesses: a research program on how far N orchestrated calls of a small model can rival a frontier model. We evolve the harness (structure + prompts) with reflective optimizers + a verified-acceptance gate.
[NeurIPS 2024] Official impl. of "Hybrid Generative AI for De Novo Design of Co-Crystals with Enhanced Tabletability". An automated screening pipeline leveraging hybridization of generative AI and evolutionary optimization for pharmaceutical co-crystal design.
ICLR 2026 | Efficient Rashomon set exploration in deep neural networks using FiLM and CMA-ES, without retraining or gradient access.
Optimization using Evolutionary Operators
TruthLens is a multimodal browser plugin that detects misleading thumbnails, clickbait titles, and low-trust video patterns, then explains, filters, and helps report suspicious content using probabilistic scoring, user feedback, and adaptive AI.
A PyTorch package for Truncated Variational Optimization.
General-purpose evolutionary optimization framework using LLMs as intelligent mutation operators. Evolve code, prompts, and text with beam search, archives, and swarm strategies.
MLOps CLI for LLM-guided evolutionary optimization on a pluggable backend (OpenEvolve, ShinkaEvolve): versioned problems and datasets, LLM registry, reproducible runs, benchmarks
Evolutionary hyperparameter optimization tool for neural networks built with Tensorflow.
Misc Projects
This application will allow: to Upload your experiment results. Select any of the top-performing architectures from the final population. Run the selected architecture through a series of simulated "real-world" benchmark tasks. View a detailed performance report and a final "AGI Scorecard" for the chosen architecture.
jMetalator - Simulator for multi-objective evolutionary optimization based on modified jMetal 5.5
Implementation of Imperialist Competitive Algorithm
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 18 个项目;原始页面见 https://github.com/topics/evolutionary-optimization。
- 该话题在 GitHub 上共有 18 个仓库, 本站收录的是其中最热门的 18 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 18 个项目累计 314 Star,覆盖 7 种主要语言,数据更新于 2026-11-11。
- 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。