AlxndrMlk / PyDataGlobal2021

Related projects: ⓘ

• vacquaviva / IntroConformalPredictions
  A short introduction to Conformal Prediction methods, with a few examples for classification and regression from the Astrophysical domain…
  ☆12Updated 2 months ago
• fastforwardlabs / structural-time-series
  Structural Time Series on US electricity demand data
  ☆23Updated 3 years ago
• PySloth / pysloth
  A Python Package for Probabilistic Prediction
  ☆22Updated 3 years ago
• Moffran / calibrated_explanations
  Repository for the explanation method Calibrated Explanations (CE)
  ☆45Updated this week
• david26694 / sktools
  Helpers for scikit learn
  ☆16Updated last year
• zedshape / zgrouping
  ☆24Updated 2 years ago
• jdb78 / lipo
  Global, derivative-free optimization for hyperparameter tuning
  ☆41Updated last year
• koaning / scikit-prune
  Prune your sklearn models
  ☆19Updated last year
• ogrisel / euroscipy-2022-time-series
  Tutorial on time-series forcasting with scikit-learn
  ☆35Updated last year
• pymc-devs / pymc-data-umbrella
  Website: Data Umbrella & PyMC open source sessions
  ☆26Updated 3 months ago
• probml / bandits
  Bayesian Bandits
  ☆64Updated last year
• fonnesbeck / probabilistic_python
  PyData London 2022 Tutorial
  ☆65Updated 2 years ago
• se-jaeger / conformal-data-cleaning
  Code for the AISTATS 2024 Paper "From Data Imputation to Data Cleaning - Automated Cleaning of Tabular Data Improves Downstream Predictiv…
  ☆19Updated 7 months ago
• AlxndrMlk / talks-and-workshops
  Materials for conference talks and workshops
  ☆28Updated 8 months ago
• ag-ds-bubble / tseuler
  A library for Time-Series exploration, analysis & modelling.
  ☆17Updated 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
• lorentzenchr / model-diagnostics
  Tools for diagnostics and assessment of (machine learning) models
  ☆25Updated last month
• nickfrosst / neural_additive_models
  stand alone Neural Additive Models, forked from google-reasearch for easy import to colab
  ☆26Updated 3 years ago
• juanitorduz / juanitorduz.github.io
  Personal Website Dr. Juan Camilo Orduz
  ☆16Updated this week
• oegedijk / rule_estimator
  A scikit-learn compatible estimator based on business-rules with interactive dashboard included
  ☆28Updated 3 years ago
• khuyentran1401 / prefect-docker
  Demo on how to use Prefect with Docker
  ☆26Updated 2 years ago
• solegalli / feature_engine
  Feature engineering package with sklearn like functionality
  ☆47Updated 2 weeks ago
• sktime / sktime-tutorial-pydata-global-2022
  sktime - python toolbox for time series: pipelines and transformers
  ☆24Updated last year
• pymc-labs / research
  Public code & notebooks accompanying our blog posts & YouTube tutorials (https://www.youtube.com/c/PyMCLabs)
  ☆23Updated 5 months ago
• valeman / Multi-class-probabilistic-classification
  Multi-class probabilistic classification using inductive and cross Venn–Abers predictors
  ☆43Updated 2 years ago
• massi82 / multi-armed-bandit
  ☆11Updated last year
• paperd / tensorflow
  TensorFlow materials
  ☆13Updated 3 years ago
• AllenDowney / BayesianInferencePyMC
  Workshop on Bayesian inference using PyMC
  ☆26Updated 3 years ago
• tensorchiefs / dl_course_2020
  The 2020 Version of the Deep Learning Course
  ☆8Updated 4 years ago
• tblume1992 / ConformalImpact
  Causal Impact but with MFLES and conformal prediction intervals
  ☆34Updated 7 months ago