Alternatives and similar repositories for GAKeras:

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

• shibuiwilliam / keras_gpyopt
  Using Bayesian Optimization to optimize hyper parameter in Keras-made neural network model.
  ☆57Updated 6 years ago
• aqibsaeed / Genetic-Algorithm-RNN
  Using Genetic Algorithms to optimize Recurrent Neural Network's Configuration
  ☆79Updated 7 years ago
• gmontamat / gentun
  Hyperparameter tuning for machine learning models using a distributed genetic algorithm
  ☆86Updated 4 months ago
• sorend / fylearn
  Fuzzy machine learning algorithms implementing the scikit-learn interface.
  ☆75Updated 7 months ago
• SantiagoEG / FCBF_module
  Fast Correlation-Based Feature Selection
  ☆31Updated 7 years ago
• maxim5 / hyper-engine
  Python library for Bayesian hyper-parameters optimization
  ☆89Updated 6 years ago
• msmbuilder / vde
  Variational Autoencoder for Dimensionality Reduction of Time-Series
  ☆185Updated 2 years ago
• jmetzen / bayesian_optimization
  Bayesian optimization
  ☆37Updated 5 years ago
• lacava / few
  a feature engineering wrapper for sklearn
  ☆51Updated 4 years ago
• padilha / biclustlib
  A Python library of biclustering algorithms, evaluation measures and datasets.
  ☆51Updated 5 years ago
• CamDavidsonPilon / Python-Numerics
  Numerical machines in Python
  ☆94Updated 10 years ago
• hamaadshah / autoencoders_tensorflow
  Automatic feature engineering using deep learning and Bayesian inference using TensorFlow.
  ☆72Updated 2 years ago
• paobranco / SMOGN-LIDTA17
  SMOGN: a Pre-processing Approach for Imbalanced Regression - LIDTA2017
  ☆25Updated 7 years ago
• shiralkarprashant / FCBF
  Houses implementation of the Fast Correlation-Based Filter (FCBF) feature selection method.
  ☆61Updated 2 years ago
• cran2367 / autoencoder_classifier
  Autoencoder model for rare event classification
  ☆105Updated 5 years ago
• juanbeleno / owlpy
  An open source time series library for Python using Matrix Profile
  ☆11Updated 7 years ago
• cangermueller / ppca
  Probabilistic Principal Component Analysis
  ☆61Updated 7 years ago
• crisbodnar / regularised-spectral-clustering
  Python code for reproducing the results of Understanding Regularized Spectral Clustering via Graph Conductance
  ☆14Updated 5 years ago
• abhinavralhan / kohonen-maps
  Implementation of SOM and GSOM
  ☆71Updated 6 years ago
• Jianbo-Lab / CCM
  ☆74Updated 6 years ago
• Hvass-Labs / MetaOps
  Tuning the Parameters of Heuristic Optimizers (Meta-Optimization / Hyper-Parameter Optimization)
  ☆55Updated 6 years ago
• fbrundu / pymrmr
  Python3 binding to mRMR Feature Selection algorithm (currently not maintained)
  ☆138Updated 2 months ago
• munagekar / nnpso
  Training of Neural Network using Particle Swarm Optimization
  ☆29Updated 6 years ago
• binhmop / tsbitmaps
  Time-series Bitmap model for anomaly detection
  ☆16Updated 7 years ago
• EvgeniDubov / hellinger-distance-criterion
  Random Forest model using Hellinger Distance as split criterion
  ☆33Updated last year
• lawrennd / old_talks
  Talks from Neil Lawrence
  ☆54Updated last year
• nnikolaou / Cost-sensitive-Boosting-Tutorial
  Tutorial on cost-sensitive boosting and calibrated AdaMEC.
  ☆26Updated 7 years ago
• abdulfatir / sampling-methods-numpy
  This repository contains implementations of some basic sampling methods in numpy.
  ☆66Updated 4 years ago
• Oracen-zz / MIDAS
  Multiple imputation utilising denoising autoencoder for approximate Bayesian inference
  ☆121Updated 4 years ago
• Vooban / Hyperopt-Keras-CNN-CIFAR-100
  Auto-optimizing a neural net (and its architecture) on the CIFAR-100 dataset. Could be easily transferred to another dataset or another c…
  ☆144Updated last year