CamDavidsonPilon / lifelines

Related projects ⓘ

Alternatives and complementary repositories for lifelines

• sebp / scikit-survival
  Survival analysis built on top of scikit-learn
  ☆1,138Updated this week
• CamDavidsonPilon / lifetimes
  Lifetime value in Python
  ☆1,449Updated 4 months ago
• bambinos / bambi
  BAyesian Model-Building Interface (Bambi) in Python.
  ☆1,082Updated last week
• raphaelvallat / pingouin
  Statistical package in Python based on Pandas
  ☆1,638Updated last month
• pydata / patsy
  Describing statistical models in Python using symbolic formulas
  ☆954Updated this week
• scikit-optimize / scikit-optimize
  Sequential model-based optimization with a `scipy.optimize` interface
  ☆2,744Updated 8 months ago
• MaxHalford / prince
  Multivariate exploratory data analysis in Python — PCA, CA, MCA, MFA, FAMD, GPA
  ☆1,271Updated this week
• dswah / pyGAM
  [HELP REQUESTED] Generalized Additive Models in Python
  ☆876Updated 5 months ago
• scikit-learn-contrib / boruta_py
  Python implementations of the Boruta all-relevant feature selection method.
  ☆1,512Updated 3 months ago
• koaning / scikit-lego
  Extra blocks for scikit-learn pipelines.
  ☆1,278Updated this week
• scikit-learn-contrib / category_encoders
  A library of sklearn compatible categorical variable encoders
  ☆2,410Updated last month
• DistrictDataLabs / yellowbrick
  Visual analysis and diagnostic tools to facilitate machine learning model selection.
  ☆4,293Updated last month
• rasbt / mlxtend
  A library of extension and helper modules for Python's data analysis and machine learning libraries.
  ☆4,909Updated this week
• akelleh / causality
  Tools for causal analysis
  ☆1,064Updated last year
• square / pysurvival
  Open source package for Survival Analysis modeling
  ☆353Updated 8 months ago
• andosa / treeinterpreter
  ☆744Updated last year
• SauceCat / PDPbox
  python partial dependence plot toolbox
  ☆845Updated 2 months ago
• google / CausalImpact
  An R package for causal inference in time series
  ☆1,706Updated last year
• TeamHG-Memex / eli5
  A library for debugging/inspecting machine learning classifiers and explaining their predictions
  ☆2,758Updated 2 years ago
• stan-dev / pystan2
  PyStan, the Python interface to Stan
  ☆920Updated 3 years ago
• hyperopt / hyperopt-sklearn
  Hyper-parameter optimization for sklearn
  ☆1,588Updated 5 months ago
• scikit-learn-contrib / sklearn-pandas
  Pandas integration with sklearn
  ☆2,814Updated last year
• laurencium / Causalinference
  Causal Inference in Python
  ☆548Updated 4 years ago
• pgmpy / pgmpy
  Python Library for learning (Structure and Parameter), inference (Probabilistic and Causal), and simulations in Bayesian Networks.
  ☆2,750Updated this week
• arviz-devs / arviz
  Exploratory analysis of Bayesian models with Python
  ☆1,612Updated last month
• stanfordmlgroup / ngboost
  Natural Gradient Boosting for Probabilistic Prediction
  ☆1,655Updated 3 weeks ago
• dabl / dabl
  Data Analysis Baseline Library
  ☆724Updated 3 months ago
• aloctavodia / Statistical-Rethinking-with-Python-and-PyMC3
  Python/PyMC3 port of the examples in " Statistical Rethinking A Bayesian Course with Examples in R and Stan" by Richard McElreath
  ☆835Updated 4 years ago
• nicodv / kmodes
  Python implementations of the k-modes and k-prototypes clustering algorithms, for clustering categorical data
  ☆1,243Updated 5 months ago
• pymc-labs / CausalPy
  A Python package for causal inference in quasi-experimental settings
  ☆914Updated this week