70 Open source projects that are alternatives of or similar to Neuroevolution_T-rex

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

Yet another black-box optimization library for Python

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 fast Evolution Strategy implementation in Python

Distributed implementation of popular evolutionary methods

Modular Java framework for meta-heuristic optimization

Blue Brain Python Optimisation Library

A framework for Big Data Optimization with multi-objective metaheuristics

A bare-bones Python library for quality diversity optimization.

The Life Engine

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

Evolutionary algorithm toolbox and framework with high performance for Python

EXONA: The Evolutionary eXploration of Neural Networks Framework -- EXACT, EXALT and EXAMM

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).

Neuroevolution demo through TensorFlow.js, Neataptic, and Box2D

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

A simple simulation in Unity, which uses genetic algorithm to optimize forces applied to cubes

Evolutionary & genetic algorithms for Julia

A multi-purpose extensible self-adaptive evolutionary tool

Evolutionary Algorithms Framework

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

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

Vita - Genetic Programming Framework

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

Finding an optimal Blackjack strategy using AI

Machine Learning Finite State Machine Models from Data with Genetic Algorithms

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

Derivative-Free Optimization Method for Global Optimization (C++)

Evolutionary Art Using Circles in Python

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.

The Watchmaker Framework for Evolutionary Computation

A neuromechanical model of adult Drosophila melanogaster.

Jupyter/IPython notebooks about evolutionary computation.

Train PyTorch Models using the Genetic Algorithm with PyGAD

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

Generate high-quality triangulated and polygonal art from images.

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

Python Control System : Create control loops and let the AI set the PID parameters

Evolution Simulator with Box2D

Using Cartesian Genetic Programming to find an efficient Convolutional Neural Network architecture

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

Genetic Algorithm and Particle Swarm Optimization

Musical Novelty Search: Evolutionary Algorithms + Ableton Live

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

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

Spare material for Computational Intelligence 01URROV @ Politecnico di Torino

Solve multi-objective optimization problems with distributed evolutionary algorithms

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

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.

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

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

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

Behavior Optimization and Learning for Robots

GARI (Genetic Algorithm for Reproducing Images) reproduces a single image using Genetic Algorithm (GA) by evolving pixel values.

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

Evolutionary algorithms library for the web 🧬

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).

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.

Supported highly optimized and flexible genetic algorithm package for python

Simple Genetic Programming for Symbolic Regression in Python3