Alternatives and similar repositories for euroscipy_2022_evaluation:

Users that are interested in euroscipy_2022_evaluation are comparing it to the libraries listed below

• JesperDramsch / ml.recipes
  Increase citations, ease review & collaboration A collection of "easy wins" to make machine learning in research reproducible. This tut…
  ☆74Updated 4 months ago
• ogrisel / euroscipy-2022-time-series
  Tutorial on time-series forcasting with scikit-learn
  ☆33Updated 2 years ago
• koaning / scikit-mdn
  A mixture density network, by PyTorch, for scikit-learn
  ☆22Updated 4 months ago
• pymc-devs / pymc-data-umbrella
  Website: Data Umbrella & PyMC open source sessions
  ☆26Updated 10 months ago
• koaning / scikit-prune
  Prune your sklearn models
  ☆19Updated 5 months ago
• fonnesbeck / probabilistic_python
  PyData London 2022 Tutorial
  ☆66Updated 2 years ago
• fairlearn / talks
  Talks / presentations / tutorials about Fairlearn and fairness in ML
  ☆22Updated 2 years ago
• AllenDowney / SurvivalAnalysisPython
  Explorations of survival analysis in Python
  ☆50Updated 2 years ago
• AllenDowney / BayesianDecisionAnalysis
  Repository for a workshop on Bayesian Decision Analysis
  ☆69Updated 2 years ago
• pymc-labs / research
  Public code & notebooks accompanying our blog posts & YouTube tutorials (https://www.youtube.com/c/PyMCLabs)
  ☆24Updated 4 months ago
• muellerzr / fastblog
  My fastai blog
  ☆21Updated last year
• amueller / aml
  Applied Machine Learning with Python
  ☆78Updated last year
• matplotlib / GettingStarted
  Scipy 2019 Tutorial
  ☆35Updated 5 years ago
• rougier / 2021-Dataviz
  Material for dataviz course at university of Bordeaux
  ☆51Updated 3 years ago
• zelros / cinnamon
  CinnaMon is a Python library which offers a number of tools to detect, explain, and correct data drift in a machine learning system
  ☆76Updated 2 years ago
• soda-inria / survival-analysis-benchmark
  Exploratory repository to study predictive survival analysis models
  ☆34Updated last year
• lesteve / euroscipy-2019-scikit-learn-tutorial
  ☆29Updated 5 years ago
• fastai / ethics.fast.ai
  The fast.ai data ethics course
  ☆15Updated 2 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…
  ☆115Updated 2 years ago
• khuyentran1401 / prefect-docker
  Demo on how to use Prefect with Docker
  ☆25Updated 2 years ago
• numfocus / YouTubeVideoTimestamps
  Adding timestamps to NumFOCUS and PyData YouTube videos!
  ☆88Updated 3 years ago
• sayakpaul / portfolio
  Personal site of Sayak Paul. Deployed here 👉
  ☆24Updated last month
• probabl-ai / youtube-appendix
  Resources for some of our education content
  ☆41Updated 2 months ago
• AllenDowney / BayesianInferencePyMC
  Workshop on Bayesian inference using PyMC
  ☆27Updated 3 years ago
• 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
• eigenfoo / tests-as-linear
  Python port of "Common statistical tests are linear models" by Jonas Kristoffer Lindeløv.
  ☆90Updated 7 months ago
• AidanCooper / shap-analysis-guide
  How to Interpret SHAP Analyses: A Non-Technical Guide
  ☆52Updated 3 years ago
• dennisbakhuis / Tutorials
  Jupyter Notebooks and other material from tutorial sessions on Machine Learning, Data Science, and related
  ☆56Updated 3 years ago
• Isaac-Flath / QuartoTemplates
  ☆20Updated 2 years ago
• outerbounds / full-stack-ML-metaflow-tutorial
  It's all in the name
  ☆76Updated last year