70 Open source projects that are alternatives of or similar to Platemo

Simple Genetic Programming for Symbolic Regression in Python3

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

Supported highly optimized and flexible genetic algorithm package for python

The Life Engine

Yet another black-box optimization library for Python

A framework for Big Data Optimization with multi-objective metaheuristics

A fast Evolution Strategy implementation in Python

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).

Blue Brain Python Optimisation Library

Modular Java framework for meta-heuristic optimization

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

A bare-bones Python library for quality diversity optimization.

Neuroevolution demo through TensorFlow.js, Neataptic, and Box2D

Finding an optimal Blackjack strategy using AI

Evolutionary algorithms library for the web 🧬

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

Vita - Genetic Programming Framework

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).

Tiny Genetic Programming in Python

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

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

Evolutionary & genetic algorithms for Julia

A multi-purpose extensible self-adaptive evolutionary tool

Evolutionary Algorithms Framework

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

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

Solve multi-objective optimization problems with distributed evolutionary algorithms

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.

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

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

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

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

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

Automated modeling and machine learning framework FEDOT

Machine Learning Finite State Machine Models from Data with Genetic Algorithms

Spare material for Computational Intelligence 01URROV @ Politecnico di Torino

Evolutionary Art Using Circles in Python

Genetic Algorithm and Particle Swarm Optimization

The Watchmaker Framework for Evolutionary Computation

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

Jupyter/IPython notebooks about evolutionary computation.

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

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

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

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

Train PyTorch Models using the Genetic Algorithm with PyGAD

Evolution Simulator with Box2D

A neuromechanical model of adult Drosophila melanogaster.

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

Search the best feature subset for you classification mode

Musical Novelty Search: Evolutionary Algorithms + Ableton Live

Generate high-quality triangulated and polygonal art from images.

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

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

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

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

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

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

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.

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).