Alternatives and similar repositories for pyautoweka

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

• abhishekkrthakur / automl_gpu
  ☆25Updated 9 years ago
• mpearmain / gestalt
  A helper library for data science pipeline
  ☆36Updated 6 years ago
• hyperopt / hyperopt-nnet
  Hyperparameter optimization for neural networks
  ☆48Updated 11 years ago
• scikit-learn / ml-benchmarks
  Benchmarks for various machine learning packages
  ☆92Updated 10 years ago
• georgian-io-archive / automl_benchmark
  Distributed, large-scale, benchmarking framework for rigorous assessment of automatic machine learning repositories, projects, and librar…
  ☆30Updated 2 years ago
• hungtuchen / ml-playground
  Simple and easy-to-understand ml algorithm implementations
  ☆19Updated 7 years ago
• automl / ParameterImportance
  Parameter Importance Analysis Tool
  ☆77Updated 4 years ago
• alexeygrigorev / nips-ad-placement-challenge
  The winning solution to the Ad Placement Challenge (NIPS'17 Causal Inference and Machine Learning Workshop)
  ☆38Updated 7 years ago
• neurospin / pylearn-parsimony
  Structured Machine Learning in Python
  ☆45Updated 2 years ago
• gpschool / gpss17
  Gaussian Process and Uncertainty Quantification Summer School 2017
  ☆26Updated 2 years ago
• RobRomijnders / bandit
  Implementation of Counterfactual risk minimization
  ☆26Updated 8 years ago
• EderSantana / Awesome-Distributed-ML
  Awesome Distributed Machine Learning Frameworks
  ☆31Updated 7 years ago
• lacava / few
  a feature engineering wrapper for sklearn
  ☆51Updated 4 years ago
• Laurae2 / CategoricalAnalysis
  Analysis of Categorical Encodings for dense Decision Trees
  ☆41Updated 8 years ago
• szilard / benchm-dl
  Playing with various deep learning tools and network architectures
  ☆70Updated 7 years ago
• automl / pysmac
  simple python interface to SMAC.
  ☆21Updated 7 years ago
• woobe / odsc_h2o_machine_learning
  Materials for Machine Learning with H2O Open Platform at ODSC Masterclass Summit 2017
  ☆12Updated 8 years ago
• automl / HPOlib1.5
  ☆69Updated 4 years ago
• NawfalTachfine / PredictionAPI
  Tutorial on deploying machine learning models to production
  ☆59Updated 5 years ago
• banilo / nips2015
  ☆14Updated 9 years ago
• daviddiazvico / scikit-datasets
  Scikit-learn-compatible datasets
  ☆16Updated last month
• crowdAI / crowdai-criteo-ad-placement-challenge-starter-kit
  Starter kit for getting started in the NIPS 2017 Criteo Ad Placement Challenge
  ☆19Updated 7 years ago
• mahehu / decmeg
  2nd place submission to the MEG decoding competition https://www.kaggle.com/c/decoding-the-human-brain
  ☆18Updated 10 years ago
• mllite / sklearn_explain
  Model explanation provides the ability to interpret the effect of the predictors on the composition of an individual score.
  ☆13Updated 4 years ago
• hamaadshah / gan_tensorflow
  Automatic feature engineering using Generative Adversarial Networks using TensorFlow.
  ☆51Updated 2 years ago
• yandexdataschool / MLatGradDays
  Course of Machine Learning in Science and Industry at Heidelberg university
  ☆47Updated 8 years ago
• mlberkeley / deep-learning-reading-group
  A public wiki for the deep learning reading group at UC Berkeley
  ☆27Updated 8 years ago
• jmschrei / notebooks
  Various notebooks and tutorials on subjects of interest.
  ☆36Updated 4 years ago
• jfpuget / metrics
  Python implementation of machine learning metrics
  ☆14Updated 7 years ago
• minerva-ml / steppy-toolkit
  Curated set of transformers that make your work with steppy faster and more effective
  ☆22Updated 6 years ago