NEAT
Evolutionary optimizer
An implementation of the Neuroevolution through Augmenting Topologies (NEAT) algorithm for evolutionary optimization of neural networks in Pharo.
NEAT implementation in Pharo
16 stars
3 watching
3 forks
Language: Java
last commit: over 4 years ago
Linked from 1 awesome list
artificial-intelligenceartificial-intelligence-algorithmsneatpharopharo-smalltalk
pharo-open-documentation/awesome-pharoRelated projects:
| Repository | Description | Stars |
|---|---|---|
 nnaisense/evotorch | An evolutionary computation library built on top of PyTorch for solving optimization problems in various fields. | 1,016 |
 deng-cy/deep_learning_topology_opt | A toolkit for using machine learning to optimize complex geometries in simulations | 107 |
 atgambardella/pytorch-es | An implementation of an optimization algorithm for training neural networks in machine learning environments. | 351 |
 locuslab/optnet | A PyTorch module that adds differentiable optimization as a layer to neural networks | 513 |
 google/jaxopt | An open-source project providing hardware accelerated, batchable and differentiable optimizers in JAX for deep learning. | 933 |
 chudur-budur/nsga2-matlab | A fast implementation of a multi-objective optimization algorithm | 96 |
 khezen/evoli | An implementation of a genetic algorithm and particle swarm optimization in Go to find the maximum value of a 3D function. | 33 |
 maxhalford/eaopt | An evolutionary optimization library that provides multiple algorithms and interfaces to solve complex optimization problems using genetic and other optimization techniques. | 889 |
 moskomule/eve.pytorch | An implementation of an optimization algorithm inspired by a 2016 research paper | 33 |
 anjiecheng/mnasnet-pytorch | An implementation of a neural network architecture search algorithm optimized for mobile devices. | 271 |
 joeddav/devol | An evolutionary algorithm for designing neural networks in Keras | 950 |
 google-deepmind/optax | A gradient processing and optimization library designed to facilitate research and productivity in machine learning by providing building blocks for custom optimizers and gradient processing components. | 1,697 |
 byungkwanlee/meteor | An implementation of Mamba-based traversal of rationale to improve performance of numerous vision language models. | 102 |
 rodrigo-arenas/sklearn-genetic-opt | Automated hyperparameter tuning and feature selection using evolutionary algorithms. | 314 |
 nick/genetic-soylent | An algorithmic optimization tool inspired by genetic algorithms and Soylent's DIY nutritional mix, aiming to create optimal recipes for personalized nutrition. | 18 |