Alternatives and similar repositories for examples

Users that are interested in examples are comparing it to the libraries listed below

• saturncloud / images
  Images for Saturn Cloud
  ☆13Updated last month
• coiled / feedback
  A place to provide Coiled feedback
  ☆19Updated 3 months ago
• posit-dev / orbital
  Turn SciKitLearn pipelines into SQL
  ☆32Updated last week
• drumtorben / polars-ts
  Polars Time Series Extension
  ☆29Updated 4 months ago
• YuriyGuts / odsc-target-leakage-workshop
  Workshop on Target Leakage in Machine Learning I taught at ODSC Europe 2018 (London) and ODSC East 2019, 2020 (Boston)
  ☆37Updated 5 years ago
• justinbois / distribution-explorer
  Tool for exploring probability distributions.
  ☆23Updated 6 months ago
• saturncloud / dask-saturn
  Python library for interacting with Dask clusters in Saturn
  ☆12Updated 8 months ago
• jseabold / pandas-selectable
  A `select` accessor for easier subsetting of pandas DataFrames and Series
  ☆34Updated 2 years ago
• rstudio / vetiver-python
  Version, share, deploy, and monitor models.
  ☆68Updated 3 months ago
• oegedijk / rule_estimator
  A scikit-learn compatible estimator based on business-rules with interactive dashboard included
  ☆28Updated 3 years ago
• mthorrell / wideboost
  Wrappers to implement wide boosting using popular boosting frameworks
  ☆13Updated 2 years ago
• koaning / narlogs
  Decorators for logging purposes for all your dataframes
  ☆11Updated 4 months ago
• machow / databackend
  ☆11Updated 10 months ago
• jrbourbeau / dask-optuna
  Scale Optuna with Dask
  ☆35Updated 4 years ago
• azukds / tubular
  Python package implementing transformers for pre processing steps for machine learning.
  ☆60Updated this week
• mehd-io / duckdb-dataviz-demo
  DuckDB with Dashboarding tools demo evidence, streamlit and rill
  ☆16Updated last year
• omarfsosa / tech-talk-hierarchical-models
  ☆41Updated 3 years ago
• RAMitchell / xgb-bias-variance
  ☆14Updated 6 years ago
• corriebar / statrethinking_reading_group
  Material for the Berlin Bayesian reading group covering Statistical Rethinking by Richard McElreath
  ☆10Updated 5 years ago
• minrk / condamagic
  %conda magic for IPython
  ☆28Updated 8 years ago
• tamsanh / kedro-great
  The easiest way to integrate Kedro and Great Expectations
  ☆52Updated 2 years ago
• nickc1 / sklearn_fastapi
  Building an API with the FastAPI framework to serve a scikit-learn model.
  ☆18Updated 6 years ago
• datavaluepeople / kotsu
  Lightweight framework for structured and repeatable model validation
  ☆11Updated last year
• saturncloud / workshop-dask-pytorch
  Introduction to Dask for PyTorch Workflows
  ☆13Updated 4 years ago
• posit-dev / py-shinywidgets
  Render ipywidgets inside a PyShiny app
  ☆52Updated last month
• koaning / scikit-playtime
  Rethinking machine learning pipelines
  ☆32Updated 7 months ago
• fugue-project / tune
  An abstraction layer for parameter tuning
  ☆35Updated 9 months ago
• SeanPLeary / shapley-values-h2o-example
  Shapley Values with H2O AutoML Example (ML Interpretability)
  ☆19Updated 6 years ago
• canyon289 / causal_inf_bookclub
  Supporting material for the book club
  ☆15Updated 2 years ago
• unravelin / code-test-data-science
  Data Scientist code test
  ☆19Updated 4 years ago