Alternatives and similar repositories for talks:

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

• outerbounds / full-stack-ML-metaflow-tutorial
  It's all in the name
  ☆76Updated last year
• oegedijk / rule_estimator
  A scikit-learn compatible estimator based on business-rules with interactive dashboard included
  ☆28Updated 3 years ago
• soda-inria / survival-analysis-benchmark
  Exploratory repository to study predictive survival analysis models
  ☆32Updated last year
• summerscope / fair-ml-reading-group
  Reading history for Fair ML Reading Group in Melbourne
  ☆37Updated 3 years ago
• pymc-devs / pymc-data-umbrella
  Website: Data Umbrella & PyMC open source sessions
  ☆26Updated 8 months ago
• NatanMish / data_validation
  Tutorial for implementing data validation in data science pipelines
  ☆33Updated 2 years ago
• jphall663 / hc_ml
  Slides, videos and other potentially useful artifacts from various presentations on responsible machine learning.
  ☆22Updated 5 years ago
• coiled / data-science-at-scale
  A Pythonic introduction to methods for scaling your data science and machine learning work to larger datasets and larger models, using th…
  ☆112Updated 2 years ago
• koaning / icepickle
  It's a cooler way to store simple linear models.
  ☆28Updated 6 months ago
• AllenDowney / SurvivalAnalysisPython
  Explorations of survival analysis in Python
  ☆51Updated last year
• ronikobrosly / scipy_2022_causal_inference_tutorial
  A set of decks and notebooks with exercises for use in a hands-on causal inference tutorial session
  ☆33Updated 2 years ago
• unravelin / code-test-data-science
  Data Scientist code test
  ☆19Updated 4 years ago
• jameslamb / lightgbm-dask-testing
  Test LightGBM's Dask integration on different cluster types
  ☆12Updated 3 weeks ago
• Isaac-Flath / QuartoTemplates
  ☆20Updated 2 years ago
• corriebar / PyLadies-Bayesian-Tutorial
  Material for the PyLadies Bayesian Tutorial, Feb 11, 2020
  ☆12Updated 2 years ago
• koaning / scikit-fairness
  this repo might get accepted
  ☆29Updated 3 years ago
• fastai / ethics.fast.ai
  The fast.ai data ethics course
  ☆14Updated 2 years ago
• drivendataorg / nbautoexport
  Automatically export Jupyter notebooks to various file formats (.py, .html, and more) on save.
  ☆75Updated 11 months ago
• koaning / scikit-prune
  Prune your sklearn models
  ☆19Updated 3 months ago
• jphall663 / secure_ML_ideas
  Practical ideas on securing machine learning models
  ☆36Updated 3 years ago
• bodywork-ml / ml-pipeline-engineering
  Best practices for engineering ML pipelines.
  ☆37Updated 2 years ago
• fugue-project / tune
  An abstraction layer for parameter tuning
  ☆36Updated 4 months ago
• JesperDramsch / ml.recipes
  Increase citations, ease review & collaboration A collection of "easy wins" to make machine learning in research reproducible. This tut…
  ☆73Updated last month
• jm-contreras / data-science-management-resources
  A list of resources for current and aspiring data science managers
  ☆16Updated 4 years ago
• GeorgeMcIntire / DataJockey
  ☆57Updated 5 months ago
• ArturoAmorQ / euroscipy_2022_evaluation
  ☆18Updated last year
• FlorianWilhelm / polars_vs_pandas
  Comparing Polars to Pandas and a small introduction
  ☆43Updated 3 years ago
• sicara / pycon-2022-dvc-streamlit
  PyCon Talks 2022 by Antoine Toubhans
  ☆23Updated 2 years ago
• machow / databackend
  ☆11Updated 5 months ago
• ivylee / model-cards-and-datasheets
  A collection of machine learning model cards and datasheets.
  ☆72Updated 7 months ago