Alternatives and similar repositories for DeepEvolve

Users that are interested in DeepEvolve are comparing it to the libraries listed below

• harvitronix / neural-network-genetic-algorithm
  Evolving a neural network with a genetic algorithm.
  ☆699Updated 7 years ago
• aqibsaeed / Genetic-CNN
  CNN architecture exploration using Genetic Algorithm
  ☆218Updated 3 years ago
• sg-nm / cgp-cnn
  A Genetic Programming Approach to Designing CNN Architectures, In GECCO 2017 (oral presentation, Best Paper Award)
  ☆76Updated last year
• aqibsaeed / Genetic-Algorithm-RNN
  Using Genetic Algorithms to optimize Recurrent Neural Network's Configuration
  ☆79Updated 7 years ago
• ahmedfgad / NeuralGenetic
  Building and training artificial neural networks (regression or classification) using the genetic algorithm.
  ☆249Updated last year
• vanhooser / TF-Genetic
  Evolutionary Neural Networks backed by TensorFlow and pure Python
  ☆108Updated 8 years ago
• scheckmedia / cgp-cnn-design
  Using Cartesian Genetic Programming to find an efficient Convolutional Neural Network architecture
  ☆25Updated 7 years ago
• travisdesell / exact
  EXONA: The Evolutionary eXploration of Neural Networks Framework -- EXACT, EXALT and EXAMM
  ☆59Updated last week
• shibuiwilliam / keras_gpyopt
  Using Bayesian Optimization to optimize hyper parameter in Keras-made neural network model.
  ☆57Updated 7 years ago
• maxim5 / hyper-engine
  Python library for Bayesian hyper-parameters optimization
  ☆91Updated 6 years ago
• PetraVidnerova / GAKeras
  Genetic algorithm to optimize Keras Sequential model
  ☆21Updated 6 years ago
• gmontamat / gentun
  Hyperparameter tuning for machine learning models using a distributed genetic algorithm
  ☆89Updated 9 months ago
• brain-research / guided-evolutionary-strategies
  Guided Evolutionary Strategies
  ☆271Updated 2 years ago
• alirezamika / evostra
  A fast Evolution Strategy implementation in Python
  ☆274Updated 5 years ago
• uber-research / PyTorch-NEAT
  ☆557Updated 2 years ago
• MattKleinsmith / pbt
  Population Based Training (in PyTorch with sqlite3). Status: Unsupported
  ☆163Updated 7 years ago
• brianwgoldman / Analysis-of-CGPs-Mechanisms
  Implementation, configuration files, and parsing scripts for the Analysis of Cartesian Genetic Programming’s Evolutionary Mechanisms publ…
  ☆19Updated 10 years ago
• dcmocanu / sparse-evolutionary-artificial-neural-networks
  Always sparse. Never dense. But never say never. A Sparse Training repository for the Adaptive Sparse Connectivity concept and its algori…
  ☆246Updated 3 years ago
• scoliann / GeneticAlgorithmFeatureSelection
  A simple example of how a genetic algorithm can be used to select the optimal subset of features to use for machine learning problems.
  ☆69Updated 8 years ago
• moshesipper / tiny_gp
  Tiny Genetic Programming in Python.
  ☆102Updated 2 years ago
• Pattio / DeepSwarm
  Neural Architecture Search Powered by Swarm Intelligence 🐜
  ☆325Updated 4 years ago
• ddehueck / pytorch-neat
  A pytorch implementation of the NEAT (NeuroEvolution of Augmenting Topologies) algorithm
  ☆107Updated 11 months ago
• guybedo / minos
  Deep learning, architecture and hyper parameters search with genetic algorithms
  ☆52Updated 10 months ago
• llSourcell / actor_critic
  This is the code for "Actor Critic Algorithms" by Siraj Raval on Youtube
  ☆75Updated 7 years ago
• uber-research / safemutations
  safemutations
  ☆145Updated 7 years ago
• Alro10 / awesome-deep-neuroevolution
  A collection of Deep Neuroevolution resources or evolutionary algorithms applying in Deep Learning (constantly updating)
  ☆222Updated 4 years ago
• cosmoharrigan / neuroevolution
  Neuroevolution as a direct policy search deep reinforcement learning method, implemented using Keras and DEAP.
  ☆71Updated 4 years ago
• llSourcell / DeepMind-alphafold-repl
  https://moalquraishi.wordpress.com/2018/12/09/alphafold-casp13-what-just-happened/
  ☆50Updated 6 years ago
• AlliedToasters / synapses
  ☆71Updated 5 years ago
• amineremache / qbso-fs
  Python implementation of QBSO-FS : a Reinforcement Learning based Bee Swarm Optimization metaheuristic for Feature Selection problem.
  ☆59Updated 5 years ago