Open-source implementation of AlphaEvolve

High-Performance Symbolic Regression in Python and Julia

Source code of PyGAD, a Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch).

Evolutionary algorithm toolbox and framework with high performance for Python

Python-based research interface for blackbox and hyperparameter optimization, based on the internal Google Vizier Service.

Distributed GPU-Accelerated Framework for Evolutionary Computation. Comprehensive Library of Evolutionary Algorithms & Benchmark Problems.

Advanced evolutionary computation library built directly on top of PyTorch, created at NNAISENSE.

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

Streamlining reinforcement learning with RLOps. State-of-the-art RL algorithms and tools, with 10x faster training through evolutionary hyperparameter optimization.

Automated modeling and machine learning framework FEDOT

EvoloPy toolbox provides classical and recent nature-inspired metaheuristic for the global optimization.

The official code repository supporting the book, Grokking Artificial Intelligence Algorithms

Evolutionary Art Using Circles in Python

ML hyperparameters tuning and features selection, using evolutionary algorithms.

Official project website for the CVPR 2020 paper (Oral Presentation) "Cascaded deep monocular 3D human pose estimation wth evolutionary training data"

Code to train and evaluate Neural Attention Memory Models to obtain universally-applicable memory systems for transformers.

A fast Evolution Strategy implementation in Python

Genetic Algorithm Package for Python

A General Automated Machine Learning framework to simplify the development of End-to-end AutoML toolkits in specific domains.

[JMLR (CCF-A)] PyPop7: A Pure-PYthon LibrarY for POPulation-based Black-Box Optimization (BBO), especially *Large-Scale* algorithm variants (from evolutionary computation, swarm intelligence, statistics, operations research, machine learning, mathematical optimization, meta-heuristics, auto-control etc.). [https://jmlr.org/papers/v25/23-0386.html]