Alternatives and similar repositories for awesome-survival-analysis

Users that are interested in awesome-survival-analysis are comparing it to the libraries listed below

• EmilHvitfeldt / feature-engineering-az
  Source for book "Feature Engineering A-Z"
  ☆145Updated last week
• jbkunst / klassets
  ☆63Updated 8 months ago
• aml4td / website
  Website sources for Applied Machine Learning for Tabular Data
  ☆144Updated last week
• RamiKrispin / atsaf
  Applied Time Series Analysis and Forecasting
  ☆169Updated 2 years ago
• adrianolszewski / model-based-testing-hypotheses
  Testing hypotheses through statistical models opens a universe of new possibilities. Learn how to improve your daily work with this appro…
  ☆84Updated last year
• matheusfacure / exploratory-notebooks
  Unstructured Code with interesting analysis
  ☆37Updated 9 months ago
• bachmannpatrick / CLVTools
  R-Package for estimating CLV
  ☆57Updated this week
• tidypyverse / tidypandas
  A grammar of data manipulation for pandas inspired by tidyverse
  ☆101Updated last year
• vincentarelbundock / pymarginaleffects
  ☆73Updated 2 months ago
• RamiKrispin / shinylive
  A guide for deploying Shinylive Python application into Github Pages
  ☆135Updated last year
• RamiKrispin / useR2024-pipeline-workshop
  Materials for the useR!2024 conference workshop "Deploy and Monitor ML Pipelines with R, Open Source, and Free Applications"
  ☆57Updated this week
• AlbertoAlmuinha / boostime
  The Tidymodels Extension for Time Series Boosting Models
  ☆57Updated 2 years ago
• RamiKrispin / USelectricity
  Forecast the US demand for electricity
  ☆100Updated 3 years ago
• nredell / forecastML
  An R package with Python support for multi-step-ahead forecasting with machine learning and deep learning algorithms
  ☆130Updated 5 years ago
• ewharton / ab-testing-resources
  ☆82Updated last year
• pyartemis / artemis
  A Python package with explanation methods for extraction of feature interactions from predictive models
  ☆30Updated last year
• robjhyndman / fpp3
  All data sets required for the examples and exercises in the book "Forecasting: principles and practice" (3rd ed, 2020) by Rob J Hyndman …
  ☆145Updated 10 months ago
• robjhyndman / weird
  That's weird: Anomaly detection using R
  ☆42Updated 7 months ago
• ModelOriented / fairmodels
  Flexible tool for bias detection, visualization, and mitigation
  ☆86Updated 6 months ago
• rstudio / vetiver-python
  Version, share, deploy, and monitor models.
  ☆68Updated 4 months ago
• business-science / modeltime.h2o
  Forecasting with H2O AutoML. Use the H2O Automatic Machine Learning algorithm as a backend for Modeltime Time Series Forecasting.
  ☆44Updated last year
• frankiethull / Practical-Guide-to-Applied-Conformal-Prediction-in-R
  Supplemental R Examples on Applied Conformal Prediction. These examples follow Practical Guide to Applied Conformal Prediction in Python,…
  ☆42Updated last year
• business-science / gpu_accelerated_forecasting_modeltime_gluonts
  GPU-Accelerated Deep Learning for Time Series using Modeltime GluonTS (Learning Lab 53). Event sponsors: Saturn Cloud, NVIDIA, & Business…
  ☆25Updated 4 years ago
• robjhyndman / ETC3550Slides
  Slides for a forecasting course based on "Forecasting: Principles and Practice"
  ☆173Updated 8 months ago
• samplics-org / samplics
  Select, weight and analyze complex sample data
  ☆67Updated 2 weeks ago
• nlapier2 / PySensemakr
  Python implementation of the original R sensemakr package: https://github.com/carloscinelli/sensemakr
  ☆52Updated 2 months ago
• robjhyndman / fpp3_slides
  Slides to accompany Forecasting: Principles and Practice, 3rd edition
  ☆74Updated last year
• soda-inria / survival-analysis-benchmark
  Exploratory repository to study predictive survival analysis models
  ☆34Updated 2 years ago
• actuarial-data-science / Tutorials
  Code for the Actuarial Data Science Tutorials published at https://actuarialdatascience.org.
  ☆190Updated 8 months ago
• NickCH-K / causaldata
  Packages of Example Data for The Effect
  ☆140Updated 8 months ago