76 Open source projects that are alternatives of or similar to cgp-cnn-design

Source codes for HHO paper: Harris hawks optimization: Algorithm and applications: https://www.sciencedirect.com/science/article/pii/S0167739X18313530. In this paper, a novel population-based, nature-inspired optimization paradigm is proposed, which is called Harris Hawks Optimizer (HHO).

A collection of Deep Neuroevolution resources or evolutionary algorithms applying in Deep Learning (constantly updating)

Behavior Optimization and Learning for Robots

NEATEST: Evolving Neural Networks Through Augmenting Topologies with Evolution Strategy Training

A 2D Unity simulation in which cars learn to navigate themselves through different courses. The cars are steered by a feedforward neural network. The weights of the network are trained using a modified genetic algorithm.

Jupyter/IPython notebooks about evolutionary computation.

A C++ platform to perform parallel computations of optimisation tasks (global and local) via the asynchronous generalized island model.

🧬 Modularised Evolutionary Algorithms For Python with Optional JIT and Multiprocessing (Ray) support. Inspired by PyTorch Lightning

A Python platform to perform parallel computations of optimisation tasks (global and local) via the asynchronous generalized island model.

Toolbox for the generative design of geometrically-encoded physical objects using numerical modelling and evolutionary optimization

Go evolutionary algorithm is a computer library for developing evolutionary and genetic algorithms to solve optimisation problems with (or not) many constraints and many objectives. Also, a goal is to handle mixed-type representations (reals and integers).

Solve multi-objective optimization problems with distributed evolutionary algorithms

The Watchmaker Framework for Evolutionary Computation

[ECCV2020] NSGANetV2: Evolutionary Multi-Objective Surrogate-Assisted Neural Architecture Search

Finding an optimal Blackjack strategy using AI

🍀 Evolutionary optimization library for Go (genetic algorithm, partical swarm optimization, differential evolution)

Forex trading simulator environment for OpenAI Gym, observations contain the order status, performance and timeseries loaded from a CSV file containing rates and indicators. Work In Progress

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

[ICML 2020] Prediction-Guided Multi-Objective Reinforcement Learning for Continuous Robot Control

Tiny Genetic Programming in Python

Evolution Simulator with Box2D

Evolutionary algorithms library for the web 🧬

Machine Learning Finite State Machine Models from Data with Genetic Algorithms

Musical Novelty Search: Evolutionary Algorithms + Ableton Live

A multi-purpose extensible self-adaptive evolutionary tool

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.

A bare-bones Python library for quality diversity optimization.

A fast Evolution Strategy implementation in Python

Contains an implementation (sklearn API) of the algorithm proposed in "GENDIS: GEnetic DIscovery of Shapelets" and code to reproduce all experiments.

Self-replicating, self-modifying Assembly program that can evolve into every possible computer program in the universe (EXPERIMENTAL)

Distributed implementation of popular evolutionary methods

Always sparse. Never dense. But never say never. A 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).

A very fast, 90% vectorized, NSGA-II algorithm in matlab.

Cartesian genetic programming (CGP) in pure Python.

Evolutionary algorithm toolbox and framework with high performance for Python

Official project website for the CVPR 2020 paper (Oral Presentation) "Cascaded Deep Monocular 3D Human Pose Estimation With Evolutionary Training Data"

Jenetics - Genetic Algorithm, Genetic Programming, Evolutionary Algorithm, and Multi-objective Optimization

pyTorch-text-classification

Evolutionary multi-objective optimization platform

A tool for automatically generating system-level test cases. Currently targeting REST APIs.

OptimLib: a lightweight C++ library of numerical optimization methods for nonlinear functions

Evoplex is a fast, robust and extensible platform for developing agent-based models and multi-agent systems on networks. It's available for Windows, Linux and macOS.

Automated modeling and machine learning framework FEDOT

Blue Brain Python Optimisation Library

Search the best feature subset for you classification mode

Simple Genetic Programming for Symbolic Regression in Python3

用神经网络来训练个能自己玩chrome断线时的那个小恐龙的AI

Evolutionary & genetic algorithms for Julia

Genetic Algorithm and Particle Swarm Optimization

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

Train PyTorch Models using the Genetic Algorithm with PyGAD

Yet another black-box optimization library for Python

A collection of Benchmark functions for numerical optimization problems (https://opfunu.readthedocs.io)

"Using Genetic Algorithms for Multi-depot Vehicle Routing" paper implementation.

Evolutionary Algorithms Framework

Local Binary Convolutional Neural Network for Facial Expression Recognition of Basic Emotions in Python using the TensorFlow framework

Python implementation of the genetic algorithm MAP-Elites with applications in constrained optimization

The Life Engine

Evolutionary Art Using Circles in Python

A collection of the state-of-the-art MEta-heuristics ALgorithms in PYthon (mealpy)