Alternatives and similar repositories for hyperas:

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

• autonomio / talos
  Hyperparameter Experiments with TensorFlow and Keras
  ☆1,628Updated 9 months ago
• raghakot / keras-vis
  Neural network visualization toolkit for keras
  ☆2,987Updated 3 years ago
• hyperopt / hyperopt
  Distributed Asynchronous Hyperparameter Optimization in Python
  ☆7,345Updated 2 weeks ago
• keras-team / keras-tuner
  A Hyperparameter Tuning Library for Keras
  ☆2,873Updated 2 months ago
• hyperopt / hyperopt-sklearn
  Hyper-parameter optimization for sklearn
  ☆1,606Updated 8 months ago
• ClimbsRocks / auto_ml
  [UNMAINTAINED] Automated machine learning for analytics & production
  ☆1,644Updated 4 years ago
• maxpumperla / elephas
  Distributed Deep learning with Keras & Spark
  ☆1,572Updated last year
• kaz-Anova / StackNet
  StackNet is a computational, scalable and analytical Meta modelling framework
  ☆1,319Updated 6 years ago
• scikit-optimize / scikit-optimize
  Sequential model-based optimization with a `scipy.optimize` interface
  ☆2,756Updated 11 months ago
• TeamHG-Memex / eli5
  A library for debugging/inspecting machine learning classifiers and explaining their predictions
  ☆2,763Updated 2 years ago
• reiinakano / xcessiv
  A web-based application for quick, scalable, and automated hyperparameter tuning and stacked ensembling in Python.
  ☆1,270Updated 6 years ago
• JasperSnoek / spearmint
  Spearmint is a package to perform Bayesian optimization according to the algorithms outlined in the paper: Practical Bayesian Optimizati…
  ☆1,391Updated 7 years ago
• zygmuntz / hyperband
  Tuning hyperparams fast with Hyperband
  ☆593Updated 6 years ago
• joeddav / devol
  Genetic neural architecture search with Keras
  ☆949Updated last year
• fchollet / keras-resources
  Directory of tutorials and open-source code repositories for working with Keras, the Python deep learning library
  ☆3,251Updated last year
• ContextLab / hypertools
  A Python toolbox for gaining geometric insights into high-dimensional data
  ☆1,832Updated 11 months ago
• blei-lab / edward
  A probabilistic programming language in TensorFlow. Deep generative models, variational inference.
  ☆4,829Updated 11 months ago
• philipperemy / keract
  Layers Outputs and Gradients in Keras. Made easy.
  ☆1,055Updated 6 months ago
• HIPS / Spearmint
  Spearmint Bayesian optimization codebase
  ☆1,552Updated 5 years ago
• bioinf-jku / SNNs
  Tutorials and implementations for "Self-normalizing networks"
  ☆1,585Updated 3 years ago
• DmitryUlyanov / Multicore-TSNE
  Parallel t-SNE implementation with Python and Torch wrappers.
  ☆1,899Updated last year
• Ahmkel / Keras-Project-Template
  A project template to simplify building and training deep learning models using Keras.
  ☆796Updated 2 years ago
• flennerhag / mlens
  ML-Ensemble – high performance ensemble learning
  ☆847Updated last year
• XifengGuo / CapsNet-Keras
  A Keras implementation of CapsNet in NIPS2017 paper "Dynamic Routing Between Capsules". Now test error ＝ 0.34%.
  ☆2,464Updated 4 years ago
• tensorflow / probability
  Probabilistic reasoning and statistical analysis in TensorFlow
  ☆4,294Updated 3 weeks ago
• HunterMcGushion / hyperparameter_hunter
  Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries
  ☆704Updated 4 years ago
• rsteca / sklearn-deap
  Use evolutionary algorithms instead of gridsearch in scikit-learn
  ☆772Updated last year
• reiinakano / scikit-plot
  An intuitive library to add plotting functionality to scikit-learn objects.
  ☆2,429Updated 6 months ago
• stared / livelossplot
  Live training loss plot in Jupyter Notebook for Keras, PyTorch and others
  ☆1,304Updated last month
• bckenstler / CLR
  ☆1,206Updated 4 years ago