Alternatives and similar repositories for model-diagnostics

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

• williambdean / latent-calendar
  Analyze and model weekly calendar distributions using latent components
  ☆10Updated last week
• koaning / scikit-playtime
  Rethinking machine learning pipelines
  ☆33Updated last month
• felipeangelimvieira / prophetverse
  A multiverse of Prophet models for timeseries
  ☆67Updated 2 weeks ago
• Blue-Yonder-OSS / cyclic-boosting
  implementation of Cyclic Boosting machine learning algorithms
  ☆94Updated last year
• drumtorben / polars-ts
  Polars Time Series Extension
  ☆31Updated this week
• NorskRegnesentral / skchange
  skchange provides sktime-compatible change detection and changepoint-based anomaly detection algorithms
  ☆39Updated last month
• soda-inria / hazardous
  Competing Risks and Survival Analysis
  ☆109Updated last month
• FBruzzesi / timebasedcv
  Time based splits for cross validation
  ☆39Updated last week
• koaning / scikit-mdn
  A mixture density network, by PyTorch, for scikit-learn
  ☆24Updated 11 months ago
• Quantco / tabmat
  Efficient matrix representations for working with tabular data
  ☆126Updated last week
• azukds / tubular
  Python package implementing transformers for pre processing steps for machine learning.
  ☆66Updated this week
• FBruzzesi / sklearn-smithy
  Toolkit to forge scikit-learn compatible estimators
  ☆19Updated last week
• mayer79 / LightSHAP
  Lightweight Python implementation of SHAP
  ☆35Updated 3 weeks ago
• PySloth / pysloth
  A Python Package for Probabilistic Prediction
  ☆22Updated 4 years ago
• RianneSchouten / pyampute
  Missing data amputation and exploration functions for Python
  ☆72Updated 2 years ago
• Quantco / glum
  High performance Python GLMs with all the features!
  ☆361Updated last week
• jakorostami / expectation
  Python library for confidence sequences, sequential testing, e-processes, e-values, and game-theoretic probability.
  ☆74Updated last week
• fonnesbeck / probabilistic_python
  PyData London 2022 Tutorial
  ☆68Updated 3 years ago
• Nixtla / utilsforecast
  Helper functions to plot, evaluate, preprocess and engineer features for forecasting
  ☆90Updated this week
• koaning / narlogs
  Decorators for logging purposes for all your dataframes
  ☆14Updated 9 months ago
• malmgrek / gammy
  Generalized additive models in Python with a Bayesian twist
  ☆78Updated 2 months ago
• pymc-devs / pymc-bart
  ☆128Updated this week
• carbonfact / icanexplain
  📊 Explain why metrics change by unpacking them
  ☆40Updated 3 weeks ago
• fugue-project / tune
  An abstraction layer for parameter tuning
  ☆35Updated last year
• Quantco / metalearners
  MetaLearners for CATE estimation
  ☆49Updated last week
• modeva-ai / Modeva
  Integrated tool for model development and validation
  ☆32Updated last month
• williambdean / pymc-mlflow-example
  MLflow logging for PyMC
  ☆14Updated 2 months ago
• sktime / skbase
  Base classes for creating scikit-learn-like parametric objects, and tools for working with them.
  ☆30Updated last week
• koaning / scikit-prune
  Prune your sklearn models
  ☆19Updated last year
• xqnwang / conformalForecast
  Methods and tools for multistep-ahead time series conformal prediction.
  ☆42Updated last month