423 Open source projects that are alternatives of or similar to neuro-evolution

A comparison between humans, neuroevolution and multilayer perceptrons playing Flapy Bird implemented in Python

A public python implementation of the DeepHyperNEAT system for evolving neural networks. Developed by Felix Sosa and Kenneth Stanley. See paper here: https://eplex.cs.ucf.edu/papers/sosa_ugrad_report18.pdf

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

A java implementation of NEAT(NeuroEvolution of Augmenting Topologies ) from scratch for the generation of evolving artificial neural networks. Only for educational purposes.

Evolutionary Algorithm using Python, 莫烦Python 中文AI教学

A NSGA-II implementation in Julia

A.I. plays the original 1980 Pacman using Neuroevolution of Augmenting Topologies and Deep Q Learning

Yet another NEAT implementation

Evolving squids through neuroevolution

A neuroevolution game experiment.

Radiate is a parallel genetic programming engine capable of evolving solutions to many problems as well as training learning algorithms.

Mario AI Ensemble

Deprecated! See:

This program evolves an AI using the NEAT algorithm to play Super Mario Bros.

Evolution Simulator with Box2D

No longer maintained, actually usable implementation of NEAT

Machine Learning for Flappy Bird using Neural Network and Genetic Algorithm

NEAT for Reinforcement Learning on the OpenAI Gym

Neuroevolution Framework for Tensorflow 2.x focusing on modularity and high-performance. Preimplements NEAT, DeepNEAT, CoDeepNEAT, etc.

Revisiting Contrastive Methods for Unsupervised Learning of Visual Representations. [NeurIPS 2021]

Implementation of ULMFit algorithm for text classification via transfer learning

This repository contains implementation of different AI algorithms, based on the 4th edition of amazing AI Book, Artificial Intelligence A Modern Approach

The system is formed by self-propelled satellites influenced by the Sun whose objective is not to leave the domain maintaining the maximum possible speed.

Customisable Unified Physical Simulations (CUPS) for Reinforcement Learning. Experiments run on the ai2thor environment (http://ai2thor.allenai.org/) e.g. using A3C, RainbowDQN and A3C_GA (Gated Attention multi-modal fusion) for Task-Oriented Language Grounding (tasks specified by natural language instructions) e.g. "Pick up the Cup or else"

✂️ Automated high-quality background removal framework for an image using neural networks. ✂️

A collection of projects which explore image classification on chest x-ray images (via the NIH dataset)

Address book for computer vision models.

Tensorflow implementation of Semi-supervised Sequence Learning (https://arxiv.org/abs/1511.01432)

Solving Knapsack 0/1 problem with various Local Search algorithms like Hill Climbing, Genetic Algorithms, Simulated Annealing, Tabu Search

Code for the paper: "SimPLE: Similar Pseudo Label Exploitation for Semi-Supervised Classification"

🤖 Cozmo the Robot recognizes objects with TensorFlow

Transfer Learning with DCNNs (DenseNet, Inception V3, Inception-ResNet V2, VGG16) for skin lesions classification

A topology and parameter evolving universal learning network.

Application of deep learning on Satellite Imagery of Sentinel-2 satellite that move around the earth from June, 2015. This image patches can be trained and classified using transfer learning techniques.

Building an ACL tear detector to spot knee injuries from MRIs with PyTorch (MRNet)

This project is a fun little demo of a genetic algorithm. A population of rockets attempt to find their way to a a target.

resource collection for transfer learning!

Advanced .NET math library (.NET Standard).

tensorflow object detection api helper tool ( custom object detection )

Finding an optimal Blackjack strategy using AI

Genetic algorithm for walking simulation. Online demo: https://rossning92.github.io/genetic-algorithm/

Dialogue Knowledge Transfer Networks (DiKTNet)

Video Representation Learning by Recognizing Temporal Transformations. In ECCV, 2020.

An AI to teach Google Chrome's dinosaur to jump obstacles.

Learning how to implement GA and NSGA-II for job shop scheduling problem in python

Neuroevolution of Neural Network for snakes in the Browser

An experiment with neural network and genetic algorithms

This project has 3 goals: To find out the best machine learning pipeline for predicting ASD cases using genetic algorithms, via the TPOT library. (Classification Problem) Compare the accuracy of the accuracy of the determined pipeline, with a standard Naive-Bayes classifier. Saving the classifier as an external file, and use this file in a Flask…

Knowledge-Aware machine LEarning (KALE): accessible machine learning from multiple sources for interdisciplinary research, part of the 🔥PyTorch ecosystem

Face Recognition with Transfer Learning

A styled-components implementation of Thoughtbot's Neat

Python toolbox for transfer learning.

Tensorflow source code for "CleanNet: Transfer Learning for Scalable Image Classifier Training with Label Noise" (CVPR 2018)

Real-time AI-powered translation of American sign language to text

💤🖌️ AI making tiny Bitsy video games. Features an experimental generative structure inspired by GANs and Genetic Algorithms

An evolutionary computation framework

MOSES Machine Learning: Meta-Optimizing Semantic Evolutionary Search. See also AS-MOSES https://github.com/opencog/asmoses but kept to guaranty backward compatibility.

Machine Learning Finite State Machine Models from Data with Genetic Algorithms

Neural network model repository for highly sparse and sparse-quantized models with matching sparsification recipes

Rust Neat - NeuroEvolution of Augmenting Topologies