Alternatives and similar repositories for wtte-rnn

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

• daynebatten / keras-wtte-rnn
  Demo Weibull Time-to-event Recurrent Neural Network in Keras
  ☆223Updated 6 years ago
• gm-spacagna / deep-ttf
  Survival analsyis and time-to-failure predictive modeling using Weibull distributions and Recurrent Neural Networks in Keras
  ☆246Updated 7 years ago
• andosa / treeinterpreter
  ☆762Updated 2 years ago
• limexp / xgbfir
  XGBoost Feature Interactions Reshaped
  ☆433Updated 8 years ago
• sosuneko / PDPbox
  python partial dependence plot toolbox
  ☆861Updated last year
• Far0n / xgbfi
  XGBoost Feature Interactions & Importance
  ☆501Updated 8 years ago
• flennerhag / mlens
  ML-Ensemble – high performance ensemble learning
  ☆862Updated 2 years ago
• MaxHalford / xam
  Personal data science and machine learning toolbox
  ☆366Updated 5 years ago
• vecxoz / vecstack
  Python package for stacking (machine learning technique)
  ☆701Updated 2 months ago
• RGF-team / rgf
  Home repository for the Regularized Greedy Forest (RGF) library. It includes original implementation from the paper and multithreaded one…
  ☆382Updated 4 years ago
• luke14free / pm-prophet
  GAM timeseries modeling with auto-changepoint detection. Inspired by Facebook Prophet and implemented in PyMC3
  ☆326Updated 5 years ago
• Far0n / kaggletils
  ☆383Updated 8 years ago
• kaz-Anova / StackNet
  StackNet is a computational, scalable and analytical Meta modelling framework
  ☆1,330Updated 7 years ago
• scikit-learn-contrib / scikit-learn-contrib
  scikit-learn compatible projects
  ☆406Updated 9 months ago
• zygmuntz / hyperband
  Tuning hyperparams fast with Hyperband
  ☆597Updated 7 years ago
• wwrechard / pydlm
  A python library for Bayesian time series modeling
  ☆485Updated last month
• marcotcr / anchor
  Code for "High-Precision Model-Agnostic Explanations" paper
  ☆813Updated 3 years ago
• alteryx / open_source_demos
  A collection of demos showcasing automated feature engineering and machine learning in diverse use cases
  ☆505Updated 2 years ago
• h2oai / pystacknet
  ☆297Updated 3 years ago
• rsteca / sklearn-deap
  Use evolutionary algorithms instead of gridsearch in scikit-learn
  ☆771Updated last year
• h2oai / mli-resources
  H2O.ai Machine Learning Interpretability Resources
  ☆490Updated 5 years ago
• rushter / heamy
  A set of useful tools for competitive data science.
  ☆554Updated 3 years ago
• jeongyoonlee / data-science-process-management
  Resources for Data Science Process management
  ☆206Updated 6 years ago
• AustinRochford / PyCEbox
  ⬛ Python Individual Conditional Expectation Plot Toolbox
  ☆164Updated 5 years ago
• EpistasisLab / scikit-rebate
  A scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for Machine Learning.
  ☆421Updated 2 years ago
• scikit-learn-contrib / skope-rules
  machine learning with logical rules in Python
  ☆658Updated last year
• jmcarpenter2 / parfit
  A package for parallelizing the fit and flexibly scoring of sklearn machine learning models, with visualization routines.
  ☆199Updated last year
• tcassou / causal_impact
  Python package for causal inference using Bayesian structural time-series models.
  ☆244Updated 5 years ago
• better / convoys
  Implementation of statistical models to analyze time lagged conversions
  ☆263Updated last year
• jphall663 / interpretable_machine_learning_with_python
  Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, …
  ☆680Updated last year