High-Performance Symbolic Regression in Python and Julia

Evolutionary algorithm toolbox and framework with high performance for Python

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

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

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

Automated modeling and machine learning framework FEDOT

Streamlining reinforcement learning with RLOps. State-of-the-art RL algorithms and tools.

Evolutionary Art Using Circles in Python

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

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

ML hyperparameters tuning and features selection, using evolutionary algorithms.

A fast Evolution Strategy implementation in Python

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

Genetic Algorithm Package for Python

Always sparse. Never dense. But never say never. A Sparse Training repository for the Adaptive Sparse Connectivity concept and its algorithmic instantiation, i.e. Sparse Evolutionary Training, to boost Deep Learning scalability on various aspects (e.g. memory and computational time efficiency, representation and generalization power).

zoofs is a python library for performing feature selection using a variety of nature-inspired wrapper algorithms. The algorithms range from swarm-intelligence to physics-based to Evolutionary. It's easy to use , flexible and powerful tool to reduce your feature size.

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

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

[***JMLR-2024***] PyPop7: A Pure-Python Library for POPulation-based Black-Box Optimization (BBO), especially *Large-Scale* versions/variants (e.g., evolutionary algorithms, swarm-based optimizers, pattern search, and random search, etc.). [Citation: https://jmlr.org/papers/v25/23-0386.html (***CCF-A***)]

A bare-bones Python library for quality diversity optimization.