Alternatives and similar repositories for PyDataGlobal2021

Users that are interested in PyDataGlobal2021 are comparing it to the libraries listed below

• sktime / sktime-tutorial-pydata-global-2022
  sktime - python toolbox for time series: pipelines and transformers
  ☆25Updated 3 years ago
• ModelOriented / SAFE
  Surrogate Assisted Feature Extraction
  ☆37Updated 4 years ago
• ericmjl / causality
  In which I play with the ideas surrounding causality
  ☆54Updated 3 years ago
• FlorianWilhelm / bhm-at-scale
  🪜 Bayesian Hierarchical Models at Scale
  ☆51Updated 4 years ago
• jdb78 / lipo
  Global, derivative-free optimization for hyperparameter tuning
  ☆44Updated 3 months ago
• kvnkho / pydata-timeseries-forecasting
  Material for PyData NYC Tutorial on Large Scale Timeseries Forecasting
  ☆27Updated 2 years ago
• parrt / stratx
  stratx is a library for A Stratification Approach to Partial Dependence for Codependent Variables
  ☆66Updated 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
  ☆32Updated 3 years ago
• fastforwardlabs / structural-time-series
  Structural Time Series on US electricity demand data
  ☆22Updated 5 years ago
• probml / bandits
  Bayesian Bandits
  ☆68Updated 2 years ago
• hsbc / tslumen
  A library for Time Series EDA (exploratory data analysis)
  ☆72Updated last year
• smazzanti / valicast
  Validation for forecasts
  ☆17Updated 2 years ago
• jphall663 / hc_ml
  Slides, videos and other potentially useful artifacts from various presentations on responsible machine learning.
  ☆22Updated 6 years ago
• microsoft / CBM
  Cyclic Boosting Machines - an explainable supervised machine learning algorithm
  ☆62Updated last year
• Moffran / calibrated_explanations
  Repository for the explanation method Calibrated Explanations (CE)
  ☆72Updated this week
• solegalli / feature_engine
  Feature engineering package with sklearn like functionality
  ☆56Updated last year
• amueller / aml
  Applied Machine Learning with Python
  ☆80Updated last year
• PySloth / pysloth
  A Python Package for Probabilistic Prediction
  ☆22Updated 4 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
  ☆77Updated 3 years ago
• FJRubio67 / StatisticalInference
  Lecture Notes on Statistical Inference
  ☆77Updated last year
• flyteorg / flyte-conference-talks
  A repo of Flyte-related conference talks
  ☆14Updated last year
• saattrupdan / doubt
  Bringing back uncertainty to machine learning.
  ☆55Updated last year
• AllenDowney / SurvivalAnalysisPython
  Explorations of survival analysis in Python
  ☆50Updated 2 years ago
• matheusfacure / exploratory-notebooks
  Unstructured Code with interesting analysis
  ☆36Updated last year
• fonnesbeck / probabilistic_python
  PyData London 2022 Tutorial
  ☆69Updated 3 years ago
• Brett-Kennedy / ikNN
  An interpretable kNN based on aggregating the predictions of multiple 2d spaces.
  ☆13Updated last year
• MLDreamer / Linkedin-posts
  ☆25Updated 2 weeks ago
• fabsig / KTBoost
  A Python package which implements several boosting algorithms with different combinations of base learners, optimization algorithms, and …
  ☆63Updated 4 years ago
• david26694 / sktools
  Helpers for scikit learn
  ☆16Updated 3 years ago
• juanitorduz / website_projects
  Repository containing the code of the projects presented in my personal website.
  ☆45Updated last week