Alternatives and similar repositories for model-diagnostics

Users that are interested in model-diagnostics are comparing it to the libraries listed below

• Blue-Yonder-OSS / cyclic-boosting
  implementation of Cyclic Boosting machine learning algorithms
  ☆94Updated last year
• koaning / scikit-playtime
  Rethinking machine learning pipelines
  ☆34Updated 3 months ago
• azukds / tubular
  Python package implementing ML feature engineering and pre-processing for polars or pandas dataframes.
  ☆85Updated this week
• FBruzzesi / timebasedcv
  Time based splits for cross validation
  ☆39Updated last week
• felipeangelimvieira / prophetverse
  A multiverse of Prophet models for timeseries
  ☆71Updated 3 weeks ago
• PySloth / pysloth
  A Python Package for Probabilistic Prediction
  ☆22Updated 4 years ago
• fonnesbeck / probabilistic_python
  PyData London 2022 Tutorial
  ☆69Updated 3 years ago
• sktime / sktime-tutorial-pydata-berlin-2022
  ☆38Updated 3 years ago
• soda-inria / hazardous
  Competing Risks and Survival Analysis
  ☆113Updated 3 months ago
• Quantco / tabmat
  Efficient matrix representations for working with tabular data
  ☆130Updated last week
• malmgrek / gammy
  Generalized additive models in Python with a Bayesian twist
  ☆78Updated 4 months ago
• fugue-project / tune
  An abstraction layer for parameter tuning
  ☆35Updated 3 weeks ago
• RianneSchouten / pyampute
  Missing data amputation and exploration functions for Python
  ☆72Updated 3 years ago
• williambdean / latent-calendar
  Analyze and model weekly calendar distributions using latent components
  ☆10Updated 3 weeks ago
• FBruzzesi / sklearn-smithy
  Toolkit to forge scikit-learn compatible estimators
  ☆19Updated last week
• drumtorben / polars-ts
  Polars Time Series Extension
  ☆32Updated 2 months ago
• NorskRegnesentral / skchange
  skchange provides sktime-compatible change detection and changepoint-based anomaly detection algorithms
  ☆41Updated 3 months ago
• Nixtla / utilsforecast
  Helper functions to plot, evaluate, preprocess and engineer features for forecasting
  ☆96Updated 3 weeks ago
• pymc-devs / pymc-bart
  ☆134Updated 2 weeks ago
• koaning / narlogs
  Decorators for logging purposes for all your dataframes
  ☆14Updated 11 months ago
• microsoft / CBM
  Cyclic Boosting Machines - an explainable supervised machine learning algorithm
  ☆62Updated last year
• carbonfact / icanexplain
  📊 Explain why metrics change by unpacking them
  ☆40Updated 2 weeks ago
• elephaint / pgbm
  Probabilistic Gradient Boosting Machines
  ☆157Updated last year
• koaning / scikit-prune
  Prune your sklearn models
  ☆19Updated last year
• Quantco / glum
  High performance Python GLMs with all the features!
  ☆366Updated this week
• koaning / scikit-mdn
  A mixture density network, by PyTorch, for scikit-learn
  ☆24Updated last year
• astrojuanlu / talk-dataframes
  Talk "Beyond pandas: The great Python dataframe showdown"
  ☆37Updated 3 years ago
• jakorostami / expectation
  Python library for confidence sequences, sequential testing, e-processes, e-values, and game-theoretic probability.
  ☆80Updated 3 weeks ago
• Quantco / metalearners
  MetaLearners for CATE estimation
  ☆49Updated this week
• oegedijk / rule_estimator
  A scikit-learn compatible estimator based on business-rules with interactive dashboard included
  ☆28Updated 4 years ago