Alternatives and similar repositories for CPT

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

• natbusa / deepcredit
  How to predict credit defaulting?
  ☆93Updated 6 years ago
• mldataanalysis / Dealing-With-Imbalanced-Data
  Using Imblearn To Tackle Imbalanced Data Sets
  ☆37Updated 8 years ago
• NeerajSarwan / CPT
  This is the native Python implementation of CPT(compact Prediction Tree)
  ☆46Updated 6 years ago
• NawfalTachfine / PredictionAPI
  Tutorial on deploying machine learning models to production
  ☆59Updated 5 years ago
• teezeit / tuning_xgboost
  Using consecutive (greedy) gridsearch with cross validation to tune xgboost hyperparameters in python.
  ☆92Updated 8 years ago
• pipidog / DeepTimeSeries
  A Keras-based library for analysis of time series data using deep learning algorithms.
  ☆117Updated 7 years ago
• abhishekkrthakur / greedyFeatureSelection
  greedy feature selection based on ROC AUC
  ☆126Updated 11 years ago
• mxbi / kaggledays-paris
  Winning Solution to the Kaggle Days Paris offline competition
  ☆63Updated 6 years ago
• levyben / DeepSuperLearner
  DeepSuperLearner - Python implementation of the deep ensemble algorithm
  ☆135Updated 7 years ago
• ndemir / stacking
  Template for Stacking (Stacked Generalization) Ensemble Method
  ☆37Updated 9 years ago
• crawles / automl_service
  Deploy AutoML as a service using Flask
  ☆226Updated 8 years ago
• paypal / autosklearn-zeroconf
  autosklearn-zeroconf is a fully automated binary classifier. It is based on the AutoML challenge winner auto-sklearn. Give it a dataset w…
  ☆170Updated 5 years ago
• khuangaf / Kaggle-Avito-NN
  The 18th Place Solution to Avito Demand Prediction Challenge
  ☆26Updated 6 years ago
• bhimmetoglu / kaggle_101
  Some work on Kaggle data for fun
  ☆64Updated 7 years ago
• alteryx / predict-taxi-trip-duration
  Predict taxi trip duration based on historical trips using automated feature engineering
  ☆62Updated 5 years ago
• johannespetrat / OptML
  Implementation of several black-box optimisation methods to tune hyperparameters of machine learning models.
  ☆77Updated 7 years ago
• jmcarpenter2 / parfit
  A package for parallelizing the fit and flexibly scoring of sklearn machine learning models, with visualization routines.
  ☆199Updated last year
• jxieeducation / Quick-Data-Science-Experiments-2017
  Quick-Data-Science-Experiments
  ☆19Updated 7 years ago
• hamaadshah / autoencoders_tensorflow
  Automatic feature engineering using deep learning and Bayesian inference using TensorFlow.
  ☆72Updated 2 years ago
• llSourcell / anomaly_detection_for_CERN
  This is code for my CERN presentation
  ☆62Updated 8 years ago
• thedataincubator / DS30_4
  Brian Farris' Talk on Reinforcement Learning and Multi-Armed Bandits for the Data Incubator
  ☆30Updated 7 years ago
• mpearmain / gestalt
  A helper library for data science pipeline
  ☆36Updated 6 years ago
• danielhanchen / sciblox
  sciblox - Easier Data Science and Machine Learning
  ☆50Updated 8 years ago
• minerva-ml / steppy-toolkit
  Curated set of transformers that make your work with steppy faster and more effective
  ☆22Updated 6 years ago
• gregtam / interpreting-decision-trees-and-random-forests
  Unwrapping decision trees and random forests to make them less of a black box
  ☆62Updated 7 years ago
• titu1994 / Nested-LSTM
  Keras implementation of Nested LSTMs
  ☆88Updated 6 years ago
• aaxwaz / Fraud-detection-using-deep-learning
  ☆113Updated 7 years ago
• wangz10 / class_imbalance
  Jupyter Notebook presentation for class imbalance in binary classification
  ☆48Updated 7 years ago
• nicolov / gradient_boosting_tensorflow_xgboost
  Benchmarking Gradient Boosting in TensorFlow and XGBoost
  ☆137Updated 7 years ago
• tgsmith61591 / skutil
  NOTE: skutil is now deprecated. See its sister project: https://github.com/tgsmith61591/skoot. Original description: A set of scikit-lear…
  ☆31Updated 7 years ago