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 7 years ago
• cangermueller / ppca
  Probabilistic Principal Component Analysis
  ☆64Updated 8 years ago
• sorend / fylearn
  Fuzzy machine learning algorithms implementing the scikit-learn interface.
  ☆78Updated 3 weeks ago
• Jianbo-Lab / CCM
  ☆74Updated 7 years ago
• cc-skuehn / Manifold_Learning
  Worked examples about manifold learning using sklearn and jupyter
  ☆51Updated 7 years ago
• aqibsaeed / Genetic-Algorithm-RNN
  Using Genetic Algorithms to optimize Recurrent Neural Network's Configuration
  ☆81Updated 8 years ago
• maxim5 / hyper-engine
  Python library for Bayesian hyper-parameters optimization
  ☆91Updated 7 years ago
• akusok / hpelm
  High performance implementation of Extreme Learning Machines (fast randomized neural networks).
  ☆201Updated 10 months ago
• acba / elm
  Python Extreme Learning Machine (ELM) is a machine learning technique used for classification/regression tasks.
  ☆94Updated 4 years ago
• thuijskens / bayesian-optimization
  Python code for bayesian optimization using Gaussian processes
  ☆314Updated 9 years ago
• weichin11 / Keras_ODENet
  Implementation of (2018) Neural Ordinary Differential Equations on Keras
  ☆66Updated 6 years ago
• msmbuilder / vde
  Variational Autoencoder for Dimensionality Reduction of Time-Series
  ☆189Updated 3 years ago
• bhargavvader / pycobra
  python library implementing ensemble methods for regression, classification and visualisation tools including Voronoi tesselations.
  ☆125Updated 5 years ago
• josejimenezluna / pyGPGO
  Bayesian optimization for Python
  ☆246Updated 3 years ago
• yuqirose / tensor_train_RNN
  Clean repo for tensor-train RNN implemented in TensorFlow
  ☆69Updated 6 years ago
• zhulingchen / tfp-tutorial
  TensorFlow Probability Tutorial
  ☆38Updated 6 years ago
• kmi010 / Time-series-cluster-kernel-TCK-
  Matlab implementation of TCK
  ☆12Updated 6 years ago
• Hvass-Labs / swarmops
  Heuristic Optimization for Python
  ☆73Updated 5 years ago
• maziarraissi / ParametricGP
  Parametric Gaussian Process Regression for Big Data
  ☆45Updated 5 years ago
• cran2367 / autoencoder_classifier
  Autoencoder model for rare event classification
  ☆105Updated 6 years ago
• clinicalml / dmm
  Deep Markov Models
  ☆132Updated 6 years ago
• cauchyturing / Imaging-time-series-to-improve-classification-and-imputation
  Python 3.6+ (only)
  ☆114Updated 6 years ago
• RobRomijnders / weight_uncertainty
  Implementing Bayes by Backprop
  ☆184Updated 6 years ago
• jjfeng / spinn
  Sparse-input neural networks
  ☆23Updated 2 years ago
• sachinruk / KerasQuantileModel
  Quantile Regression using Deep Learning. An alternative to Bayesian models to get uncertainty.
  ☆76Updated 8 years ago
• minepy / mictools
  A practical tool for Maximal Information Coefficient (MIC) analysis
  ☆138Updated last year
• ratschlab / SOM-VAE
  TensorFlow implementation of the SOM-VAE model as described in https://arxiv.org/abs/1806.02199
  ☆198Updated 2 years ago
• ngorbach / Variational_Gradient_Matching_for_Dynamical_Systems
  Sample code for the NIPS paper "Scalable Variational Inference for Dynamical Systems"
  ☆26Updated 6 years ago
• mandubian / neural-ode
  Neural Ordinary Differential Equation
  ☆103Updated 6 years ago
• ili3p / HORD
  Efficient Hyperparameter Optimization of Deep Learning Algorithms Using Deterministic RBF Surrogates
  ☆115Updated 8 years ago