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

Last update: Dec 05, 2022

Overview

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

It is NEAT but the weights are trained with Natural Evolution Strategy and the weights are shared across genomes.

Requirements

numpy
cloudpickle

Install

pip install nesneat

Optional

matplotlib # To draw networks
mpi4py # For parallelization
gym # For examples

Usage

Check examples

PYTHONPATH="$(pwd):$PYTHONPATH" python examples/cartpole.py
# Or in parallel
PYTHONPATH="$(pwd):$PYTHONPATH" mpirun -np 2 python examples/cartpole.py

Owner

Göktuğ Karakaşlı

Computer Science MSc. and Electronics engineer working on Machine Learning, Robotics, Computer Vision.

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

Related tags

Overview

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

Requirements

Install

Optional

Usage

Owner

Göktuğ Karakaşlı

Python scripts for performing 3D human pose estimation using the Mobile Human Pose model in ONNX.

Gym Threat Defense

Robotics environments

Simple ONNX operation generator. Simple Operation Generator for ONNX.

Bootstrapped Representation Learning on Graphs

Code for paper "Extract, Denoise and Enforce: Evaluating and Improving Concept Preservation for Text-to-Text Generation" EMNLP 2021

Continual learning with sketched Jacobian approximations

Ppq - A powerful offline neural network quantization tool with custimized IR

Digitalizing-Prescription-Image - PIRDS - Prescription Image Recognition and Digitalizing System is a OCR make with Tensorflow

A decent AI that solves daily Wordle puzzles. Works with different websites with similar wordlists,.

SHIFT15M: multiobjective large-scale fashion dataset with distributional shifts

Simple and Distributed Machine Learning

implementation for paper "ShelfNet for fast semantic segmentation"

Pure python PEMDAS expression solver without using built-in eval function

Official repository of "BasicVSR++: Improving Video Super-Resolution with Enhanced Propagation and Alignment"

Image De-raining Using a Conditional Generative Adversarial Network

ktrain is a Python library that makes deep learning and AI more accessible and easier to apply

Breaking Shortcut: Exploring Fully Convolutional Cycle-Consistency for Video Correspondence Learning

Geometric Vector Perceptron --- a rotation-equivariant GNN for learning from biomolecular structure

A demo of how to use JAX to create a simple gravity simulation