valeman / bayesianism_is_what_you_dont_need
The best repo showing why bayesianism is a complete misnomer
☆23Updated last month
Alternatives and similar repositories for bayesianism_is_what_you_dont_need:
Users that are interested in bayesianism_is_what_you_dont_need are comparing it to the libraries listed below
- A simple and fast sklearn-compatible conformal predictions with random forests for both classification and regression tasks.☆42Updated last month
- ☆47Updated 2 months ago
- This projects contains different conformal methods and approaches. Includes code generated for a experimental evaluation of a multidimens…☆19Updated 11 months ago
- ☆24Updated this week
- ☆48Updated 3 months ago
- Calibrated Random Forests☆35Updated 4 years ago
- 👖 Conformal Tights adds conformal prediction of coherent quantiles and intervals to any scikit-learn regressor or Darts forecaster☆105Updated 2 weeks ago
- Python implementation of binary and multi-class Venn-ABERS calibration☆148Updated 6 months ago
- ☆37Updated 3 months ago
- Multi-class probabilistic classification using inductive and cross Venn–Abers predictors☆44Updated 2 years ago
- Code for the AISTATS 2024 Paper "From Data Imputation to Data Cleaning - Automated Cleaning of Tabular Data Improves Downstream Predictiv…☆21Updated last year
- ☆115Updated last year
- Forecast evaluation library☆61Updated 3 weeks ago
- Helper functions to plot, evaluate, preprocess and engineer features for forecasting☆57Updated 3 weeks ago
- Conformal Anomaly Detection☆44Updated 2 weeks ago
- Causal Impact but with MFLES and conformal prediction intervals☆33Updated 2 months ago
- The Orange Book of Machine Learning☆39Updated 2 weeks ago
- Forecasting: principles and practice in python☆127Updated last year
- The repository to showcase the best framework for tabular data - the Awesome CatBoost☆230Updated this week
- A Library for Conformal Hyperparameter Tuning☆29Updated this week
- A multiverse of Prophet models for timeseries☆47Updated last week
- Fast implementations of common forecasting routines☆34Updated this week
- tsbootstrap: generate bootstrapped time series samples in Python☆77Updated 4 months ago
- Methods and tools for multistep-ahead time series conformal prediction.☆33Updated last week
- Practical Guide to Applied Conformal Prediction, published by Packt☆162Updated last year
- Base classes for creating scikit-learn-like parametric objects, and tools for working with them.☆24Updated this week
- Extension of crepes package, to enable weighted conformal prediction and conformal predictive systems that can handle covariate shifts.☆21Updated last month
- Conformal Prediction-Based Global and Model Agnostic Explainability for Classification tasks.☆25Updated last month
- Repository for the explanation method Calibrated Explanations (CE)☆64Updated 3 weeks ago
- Methods for online conformal prediction.☆110Updated 2 months ago