Alternatives and similar repositories for machine-learning:

Users that are interested in machine-learning are comparing it to the libraries listed below

• 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 5 years ago
• hamaadshah / autoencoders_tensorflow
  Automatic feature engineering using deep learning and Bayesian inference using TensorFlow.
  ☆72Updated 2 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.
  ☆67Updated 8 years ago
• fukatani / stacked_generalization
  Library for machine learning stacking generalization.
  ☆117Updated 5 years ago
• zygmuntz / adversarial-validation
  Creating a better validation set when test examples differ from training examples
  ☆101Updated 8 years ago
• ndemir / stacking
  Template for Stacking (Stacked Generalization) Ensemble Method
  ☆37Updated 9 years ago
• navicto / Discretization-MDLPC
  Discretization with Fayyad and Irani's minimum description length principle criterion (MDLPC)
  ☆60Updated 6 years ago
• mpearmain / gestalt
  A helper library for data science pipeline
  ☆36Updated 5 years ago
• bsharchilev / influence_boosting
  Supporting code for the paper "Finding Influential Training Samples for Gradient Boosted Decision Trees"
  ☆67Updated 11 months ago
• kaz-Anova / py_ml_utils
  Some small utility modules to help with pandas, numpy and sklearn usage in other projects
  ☆22Updated 10 years ago
• hamaadshah / gan_tensorflow
  Automatic feature engineering using Generative Adversarial Networks using TensorFlow.
  ☆51Updated 2 years ago
• zygmuntz / gaussrank
  Preparing continuous features for neural networks with GaussRank
  ☆45Updated 7 years ago
• KwokHing / YandexCatBoost-Python-Demo
  Demo on the capability of Yandex CatBoost gradient boosting classifier on a fictitious IBM HR dataset obtained from Kaggle. Data explorat…
  ☆30Updated 5 years ago
• YoungHJung / OnlineBoostingWithVFDT
  Online multiclass boosting algorithm that uses VFDT as weak learners
  ☆16Updated 6 years ago
• automl / pysmac
  simple python interface to SMAC.
  ☆21Updated 7 years ago
• aaxwaz / Fraud-detection-using-deep-learning
  ☆112Updated 7 years ago
• ldv1 / LinXGBoost
  Extension of the awesome XGBoost to linear models at the leaves
  ☆78Updated 5 years ago
• jfpuget / Kaggle
  My solution to Web Traffic Predictions competition on Kaggle.
  ☆153Updated 6 years ago
• Laurae2 / CategoricalAnalysis
  Analysis of Categorical Encodings for dense Decision Trees
  ☆41Updated 8 years ago
• dustinstansbury / stacked_generalization
  Python implementation of stacked generalization classifier. Plays nice with sklearn.
  ☆71Updated 8 years ago
• CamDavidsonPilon / Python-Numerics
  Numerical machines in Python
  ☆94Updated 10 years ago
• kiudee / cs-ranking
  Context-sensitive ranking and choice in Python with PyTorch
  ☆66Updated 2 years ago
• u1234x1234 / kaggle-yelp-restaurant-photo-classification
  Winning solution scripts
  ☆53Updated 8 years ago
• mzaradzki / factorization-machine-for-prediction
  Factorization Machine for regression and classification
  ☆98Updated 7 years ago
• mottalrd / learning-to-rank
  Experiments on how to use machine learning to rank a product catalog
  ☆84Updated 8 years ago
• xiaozhouwang / kaggle-porto-seguro
  2nd Place Solution for Kaggle Porto Seguro's Safe Driver Prediction
  ☆155Updated 5 years ago
• guolinke / boosting_tree_benchmarks
  ☆70Updated 5 years ago
• experiencor / online-machine-learning
  Implementation of an online learning algorithm to do classification under concept drift
  ☆23Updated 7 years ago
• mxbi / ftim
  Feature-Time Instability Metric
  ☆43Updated 8 years ago
• zaburo-ch / kaggle-rrv-25th
  Recruit Restaurant Visitor Forecasting 25th place solution
  ☆12Updated 7 years ago