giladkatz / ExploreKit

Related projects: ⓘ

• udellgroup / oboe
  An AutoML pipeline selection system to quickly select a promising pipeline for a new dataset.
  ☆82Updated 2 years ago
• flytxtds / AutoGBT
  AutoGBT is used for AutoML in a lifelong machine learning setting to classify large volume high cardinality data streams under concept-dr…
  ☆114Updated 4 years ago
• bsharchilev / influence_boosting
  Supporting code for the paper "Finding Influential Training Samples for Gradient Boosted Decision Trees"
  ☆67Updated 3 months ago
• kingfengji / eForest
  This is the official implementation for the paper 'AutoEncoder by Forest'
  ☆74Updated 6 years ago
• MLBazaar / AutoBazaar
  AutoBazaar: An AutoML System from the Machine Learning Bazaar
  ☆31Updated 3 years ago
• MetaLearners / NIPS-2018-AutoML-Challenge
  The final code submission of Meta_Learners, which won the second place in NIPS 2018 AutoML Challenge
  ☆17Updated 5 years ago
• saket-maheshwary / AutoLearn
  AutoLearn, a domain independent regression-based feature learning algorithm.
  ☆30Updated 5 years ago
• Angel-ML / automl
  An automatic machine learning toolkit, including hyper-parameter tuning and feature engineering.
  ☆58Updated 4 years ago
• kingfengji / mGBDT
  This is the official clone for the implementation of the NIPS18 paper Multi-Layered Gradient Boosting Decision Trees (mGBDT) .
  ☆100Updated 5 years ago
• trane-dev / Trane
  An open source python library for automated prediction engineering
  ☆45Updated this week
• yangji9181 / ClusChurn
  A prototype implementation of ClusChurn based on PyTorch.
  ☆52Updated 6 years ago
• giantcroc / featuretoolsOnSpark
  A simplified version of featuretools for Spark
  ☆30Updated 5 years ago
• mldataanalysis / Dealing-With-Imbalanced-Data
  Using Imblearn To Tackle Imbalanced Data Sets
  ☆37Updated 7 years ago
• mutantturkey / PyFeast
  ☆62Updated this week
• guolinke / boosting_tree_benchmarks
  ☆69Updated 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 6 years ago
• benoitdescamps / Neural-Tree
  Tensorflow implementation of a Tree
  ☆36Updated 5 years ago
• gabrielspmoreira / kaggle_outbrain_click_prediction_google_cloud_ml_engine
  A POC of Google's Wide & Deep Learning models deployed on Google Cloud ML Engine for Kaggle's Outbrain Click Competition
  ☆36Updated 6 years ago
• kiudee / cs-ranking
  Context-sensitive ranking and choice in Python with PyTorch
  ☆66Updated last year
• ldv1 / LinXGBoost
  Extension of the awesome XGBoost to linear models at the leaves
  ☆77Updated 5 years ago
• erlendd / covariate-shift-adaption
  An example of using a discriminator to correct for a difference in the distributions between the training and test data.
  ☆66Updated 7 years ago
• PanpanZheng / SAFE
  ☆34Updated 4 years ago
• alteryx / featuretools-tsfresh-primitives
  TSFresh primitives for featuretools
  ☆36Updated 2 years ago
• maxpumperla / entropy-mdlp
  Minimum description length principle algorithm in Python, for optimal binning of continuous variables
  ☆59Updated last year
• ts302team / KDDCUP2019-AutoMLTrack
  The ts302_team final solution to the KDD CUP 2019 AutoML Track problem.
  ☆15Updated 4 years ago
• bigdong89 / xgboostExtension
  xgboost Extension for Easy Ranking & TreeFeature
  ☆123Updated 4 years ago
• lacava / few
  a feature engineering wrapper for sklearn
  ☆50Updated 4 years ago
• olivier-s-j / TomekLink
  Remove Tomek Links from your data.
  ☆31Updated 6 years ago
• fukatani / stacked_generalization
  Library for machine learning stacking generalization.
  ☆117Updated 5 years ago
• ispras / pu4spark
  Positive-Unlabeled Learning for Apache Spark
  ☆41Updated 6 years ago