Alternatives and similar repositories for evolutionary_keras

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

• Ambrosys / glyph
  a python 3 library based on deap providing abstraction layers for symbolic regression problems.
  ☆94Updated 4 years ago
• crisbodnar / TensorFlow-NEAT
  TensorFlow Eager implementation of NEAT and Adaptive HyperNEAT
  ☆121Updated 2 years ago
• drallensmith / neat-python
  Python implementation of the NEAT neuroevolution algorithm
  ☆33Updated 8 years ago
• cavalab / ellyn
  python-wrapped version of ellen, a linear genetic programming system for symbolic regression and classification.
  ☆57Updated 3 years ago
• goktug97 / estorch
  Evolution Strategy Library
  ☆55Updated 5 years ago
• ddehueck / pytorch-neat
  A pytorch implementation of the NEAT (NeuroEvolution of Augmenting Topologies) algorithm
  ☆112Updated last year
• moshesipper / tiny_gp
  Tiny Genetic Programming in Python.
  ☆105Updated 2 years ago
• ukuleleplayer / pureples
  Pure Python Library for ES-HyperNEAT. Contains implementations of HyperNEAT and ES-HyperNEAT.
  ☆117Updated last year
• marcovirgolin / GP-GOMEA
  Genetic Programming version of GOMEA. Also includes standard tree-based GP, and Semantic Backpropagation-based GP
  ☆57Updated last month
• flxsosa / DeepHyperNEAT
  A public python implementation of the DeepHyperNEAT system for evolving neural networks. Developed by Felix Sosa and Kenneth Stanley. See…
  ☆73Updated 3 years ago
• darioizzo / dcgp
  Implementation of a differentiable CGP (Cartesian Genetic Programming)
  ☆113Updated 3 years ago
• Happy-Algorithms-League / hal-cgp
  Cartesian genetic programming (CGP) in pure Python.
  ☆34Updated last year
• HaolingZHANG / ReverseEncodingTree
  Evolving Neural Network through the Reverse Encoding Tree
  ☆15Updated 4 years ago
• cfusting / fast-symbolic-regression
  Blazing fast symbolic regresison
  ☆76Updated 6 years ago
• cavalab / feat
  A feature engineering automation tool for learning data representations
  ☆36Updated 7 months ago
• kstaats / karoo_gp
  A Genetic Programming platform for Python with TensorFlow for wicked-fast CPU and GPU support.
  ☆164Updated 3 years ago
• goktug97 / nes-torch
  Minimal PyTorch Library for Natural Evolution Strategies
  ☆18Updated 4 years ago
• uber-research / Map-Elites-Evolutionary
  Map-Elites based on Evolution Strategies
  ☆31Updated 3 years ago
• srom / cma-es
  Covariance Matrix Adaptation Evolution Strategy (CMA-ES)
  ☆71Updated 3 years ago
• marcovirgolin / SimpleGP
  Simple Genetic Programming for Symbolic Regression in Python3
  ☆27Updated 3 years ago
• pablormier / yabox
  Yet another black-box optimization library for Python
  ☆138Updated 2 years ago
• gpapamak / snl
  Sequential Neural Likelihood
  ☆42Updated 6 years ago
• gursky1 / cygym
  Cythonized versions of the OpenAI Gym classic control environments.
  ☆13Updated 5 years ago
• ibm-research-tokyo / dybm
  Dynamic Boltzmann Machines
  ☆138Updated last year
• AlejandroSantorum / scikit-rmt
  Random Matrix Theory library - RMT analysis and simulation in Python
  ☆51Updated 2 weeks ago
• NiMlr / High-Dim-ES-RL
  Paper: Challenges in High-dimensional Reinforcement Learning with Evolution Strategies
  ☆29Updated 3 years ago
• IGITUGraz / L2L
  Learning to Learn: Gradient-free Optimization framework
  ☆36Updated 4 years ago
• twhughes / Symbolic-Regression
  predicting equations from raw data with deep learning
  ☆57Updated 6 years ago
• andim / noisyopt
  Python library for optimizing noisy functions.
  ☆88Updated 2 weeks ago
• JorgeCeja / evolution-strategies
  🦾Distributed Natural Evolution Strategies Build with PyTorch and Ray
  ☆18Updated 7 years ago