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
  ☆222Updated 6 years ago
• gm-spacagna / deep-ttf
  Survival analsyis and time-to-failure predictive modeling using Weibull distributions and Recurrent Neural Networks in Keras
  ☆245Updated 7 years ago
• andosa / treeinterpreter
  ☆759Updated 2 years ago
• sosuneko / PDPbox
  python partial dependence plot toolbox
  ☆863Updated last year
• flennerhag / mlens
  ML-Ensemble – high performance ensemble learning
  ☆860Updated last year
• limexp / xgbfir
  XGBoost Feature Interactions Reshaped
  ☆432Updated 7 years ago
• entron / entity-embedding-rossmann
  ☆873Updated 5 years ago
• luke14free / pm-prophet
  GAM timeseries modeling with auto-changepoint detection. Inspired by Facebook Prophet and implemented in PyMC3
  ☆327Updated 4 years ago
• Far0n / xgbfi
  XGBoost Feature Interactions & Importance
  ☆501Updated 7 years ago
• MaxHalford / xam
  Personal data science and machine learning toolbox
  ☆365Updated 5 years ago
• Far0n / kaggletils
  ☆383Updated 8 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, …
  ☆682Updated last year
• vecxoz / vecstack
  Python package for stacking (machine learning technique)
  ☆694Updated 2 weeks ago
• jeongyoonlee / data-science-process-management
  Resources for Data Science Process management
  ☆204Updated 5 years ago
• wwrechard / pydlm
  A python library for Bayesian time series modeling
  ☆483Updated last year
• CamDavidsonPilon / lifetimes
  Lifetime value in Python
  ☆1,467Updated last year
• RGF-team / rgf
  Home repository for the Regularized Greedy Forest (RGF) library. It includes original implementation from the paper and multithreaded one…
  ☆382Updated 3 years ago
• mpearmain / BayesBoost
  Bayesian Optimization using xgboost and sklearn API
  ☆226Updated 9 years ago
• scikit-learn-contrib / scikit-learn-contrib
  scikit-learn compatible projects
  ☆410Updated 5 months ago
• alteryx / open_source_demos
  A collection of demos showcasing automated feature engineering and machine learning in diverse use cases
  ☆500Updated 2 years ago
• jeongyoonlee / Kaggler
  Code for Kaggle Data Science Competitions
  ☆752Updated last year
• abhayspawar / featexp
  Feature exploration for supervised learning
  ☆762Updated 4 years ago
• scikit-learn-contrib / skope-rules
  machine learning with logical rules in Python
  ☆645Updated last year
• iskandr / fancyimpute
  Multivariate imputation and matrix completion algorithms implemented in Python
  ☆1,279Updated 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.
  ☆241Updated 5 years ago
• rushter / heamy
  A set of useful tools for competitive data science.
  ☆553Updated 2 years ago
• zygmuntz / hyperband
  Tuning hyperparams fast with Hyperband
  ☆594Updated 7 years ago
• wayfair / pylift
  Uplift modeling package.
  ☆374Updated 2 years ago
• h2oai / mli-resources
  H2O.ai Machine Learning Interpretability Resources
  ☆489Updated 4 years ago