Alternatives and similar repositories for keras-wtte-rnn:

Users that are interested in keras-wtte-rnn are comparing it to the libraries listed below

• gm-spacagna / deep-ttf
  Survival analsyis and time-to-failure predictive modeling using Weibull distributions and Recurrent Neural Networks in Keras
  ☆239Updated 6 years ago
• ragulpr / wtte-rnn
  WTTE-RNN a framework for churn and time to event prediction
  ☆772Updated 4 years ago
• ragulpr / wtte-rnn-examples
  Examples of implementations of WTTE-RNN
  ☆32Updated 6 years ago
• CollinRooney12 / htsprophet
  Hierarchical Time Series Forecasting using Prophet
  ☆144Updated 4 years ago
• mpearmain / BayesBoost
  Bayesian Optimization using xgboost and sklearn API
  ☆226Updated 9 years ago
• square / pysurvival
  Open source package for Survival Analysis modeling
  ☆359Updated last year
• RGF-team / rgf
  Home repository for the Regularized Greedy Forest (RGF) library. It includes original implementation from the paper and multithreaded one…
  ☆381Updated 3 years ago
• numeristical / introspective
  Repo for the ML_Insights python package
  ☆150Updated last week
• fukatani / stacked_generalization
  Library for machine learning stacking generalization.
  ☆117Updated 5 years ago
• scikit-learn-contrib / polylearn
  A library for factorization machines and polynomial networks for classification and regression in Python.
  ☆245Updated 4 years ago
• limexp / xgbfir
  XGBoost Feature Interactions Reshaped
  ☆429Updated 7 years ago
• luke14free / pm-prophet
  GAM timeseries modeling with auto-changepoint detection. Inspired by Facebook Prophet and implemented in PyMC3
  ☆328Updated 4 years ago
• Far0n / xgbfi
  XGBoost Feature Interactions & Importance
  ☆500Updated 7 years ago
• scikit-learn-contrib / stability-selection
  scikit-learn compatible implementation of stability selection.
  ☆212Updated last year
• tcassou / causal_impact
  Python package for causal inference using Bayesian structural time-series models.
  ☆240Updated 4 years ago
• EpistasisLab / scikit-rebate
  A scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for Machine Learning.
  ☆416Updated 2 years ago
• scikit-learn-contrib / forest-confidence-interval
  Confidence intervals for scikit-learn forest algorithms
  ☆287Updated this week
• AustinRochford / PyCEbox
  ⬛ Python Individual Conditional Expectation Plot Toolbox
  ☆165Updated 4 years ago
• jmcarpenter2 / parfit
  A package for parallelizing the fit and flexibly scoring of sklearn machine learning models, with visualization routines.
  ☆199Updated last year
• gameofdimension / xgboost_explainer
  A tool for analyzing feature importance of xgboost model. idea came from R version xgboostExplainer
  ☆42Updated 7 years ago
• MLBazaar / BTB
  A simple, extensible library for developing AutoML systems
  ☆175Updated last year
• scikit-garden / scikit-garden
  A garden for scikit-learn compatible trees
  ☆286Updated 10 months ago
• christophM / rulefit
  Python implementation of the rulefit algorithm
  ☆420Updated last year
• better / convoys
  Implementation of statistical models to analyze time lagged conversions
  ☆261Updated 11 months ago
• chasedehan / BoostARoota
  A fast xgboost feature selection algorithm
  ☆222Updated 4 years ago
• bookingcom / upliftml
  UpliftML: A Python Package for Scalable Uplift Modeling
  ☆326Updated 2 years ago
• scikit-learn-contrib / scikit-learn-contrib
  scikit-learn compatible projects
  ☆410Updated 2 weeks ago
• MBrouns / timeseers
  Time should be taken seer-iously
  ☆315Updated 2 years ago
• rhiever / sklearn-benchmarks
  A centralized repository to report scikit-learn model performance across a variety of parameter settings and data sets.
  ☆212Updated 7 years ago
• wayfair / pylift
  Uplift modeling package.
  ☆373Updated 2 years ago