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
  ☆221Updated 6 years ago
• gm-spacagna / deep-ttf
  Survival analsyis and time-to-failure predictive modeling using Weibull distributions and Recurrent Neural Networks in Keras
  ☆238Updated 6 years ago
• Far0n / xgbfi
  XGBoost Feature Interactions & Importance
  ☆500Updated 7 years ago
• entron / entity-embedding-rossmann
  ☆873Updated 5 years ago
• SauceCat / PDPbox
  python partial dependence plot toolbox
  ☆853Updated 7 months ago
• andosa / treeinterpreter
  ☆757Updated last year
• limexp / xgbfir
  XGBoost Feature Interactions Reshaped
  ☆428Updated 7 years ago
• flennerhag / mlens
  ML-Ensemble – high performance ensemble learning
  ☆853Updated last year
• marcotcr / anchor
  Code for "High-Precision Model-Agnostic Explanations" paper
  ☆801Updated 2 years ago
• scikit-learn-contrib / skope-rules
  machine learning with logical rules in Python
  ☆634Updated last year
• iskandr / fancyimpute
  Multivariate imputation and matrix completion algorithms implemented in Python
  ☆1,267Updated 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
• wayfair / pylift
  Uplift modeling package.
  ☆373Updated 2 years ago
• vecxoz / vecstack
  Python package for stacking (machine learning technique)
  ☆691Updated 8 months ago
• scikit-learn-contrib / boruta_py
  Python implementations of the Boruta all-relevant feature selection method.
  ☆1,561Updated 8 months ago
• luke14free / pm-prophet
  GAM timeseries modeling with auto-changepoint detection. Inspired by Facebook Prophet and implemented in PyMC3
  ☆328Updated 4 years ago
• parrt / random-forest-importances
  Code to compute permutation and drop-column importances in Python scikit-learn models
  ☆610Updated 3 weeks ago
• chasedehan / BoostARoota
  A fast xgboost feature selection algorithm
  ☆222Updated 4 years ago
• abhayspawar / featexp
  Feature exploration for supervised learning
  ☆763Updated 4 years ago
• christophM / rulefit
  Python implementation of the rulefit algorithm
  ☆420Updated last year
• hyperopt / hyperopt-sklearn
  Hyper-parameter optimization for sklearn
  ☆1,623Updated this week
• jeongyoonlee / Kaggler
  Code for Kaggle Data Science Competitions
  ☆750Updated 11 months ago
• wwrechard / pydlm
  A python library for Bayesian time series modeling
  ☆484Updated 7 months ago
• h2oai / mli-resources
  H2O.ai Machine Learning Interpretability Resources
  ☆488Updated 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
• kaz-Anova / StackNet
  StackNet is a computational, scalable and analytical Meta modelling framework
  ☆1,319Updated 6 years ago
• zygmuntz / hyperband
  Tuning hyperparams fast with Hyperband
  ☆593Updated 6 years ago
• jphall663 / interpretable_machine_learning_with_python
  Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, …
  ☆676Updated 10 months ago
• HunterMcGushion / hyperparameter_hunter
  Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries
  ☆706Updated 4 years ago
• dabl / dabl
  Data Analysis Baseline Library
  ☆726Updated 4 months ago