ferrine / practical-bayesLinks
☆12Updated last month
Alternatives and similar repositories for practical-bayes
Users that are interested in practical-bayes are comparing it to the libraries listed below
Sorting:
- ☆15Updated 4 years ago
- The tsutils package for R provides functions to support various aspects of time series and forecasting modelling.☆13Updated 2 years ago
- ☆16Updated 2 years ago
- An R package to estimate the effect of interventions on univariate time series using ARIMA models☆25Updated last year
- A Python package with explanation methods for extraction of feature interactions from predictive models☆33Updated 2 years ago
- A python package for hierarchical forecasting, inspired by hts package in R.☆29Updated 10 months ago
- Data for and description of the ACIC 2023 data competition☆32Updated 2 years ago
- Friday Forecasting Talks materials☆11Updated last year
- code and demo for hierarchical stacking paper☆10Updated 4 years ago
- Distributional Random Forests (Cevid et al., 2020)☆45Updated last month
- A sensitivity analysis package for causal effects☆12Updated last year
- Univariate and multivariate time series forecasting, with uncertainty quantification (Python & R)☆13Updated 3 weeks ago
- R package to compute distribution-free prediction bands using density estimators☆11Updated 4 years ago
- Implementation of Conformal Convolution T-learner (CCT) and Conformal Monte Carlo (CMC) learner☆17Updated 7 months ago
- Fast and customizable framework for automatic and quick Causal Inference in Python☆122Updated 2 weeks ago
- Conformal Time Series Forecasting Using State of Art Machine Learning Algorithms☆26Updated 3 years ago
- Forecasting Book Club☆19Updated 4 years ago
- ☆17Updated 4 years ago
- ☆13Updated 3 years ago
- Machine Learning, 7.5 credits, a course that I have previously given at Department of Statistics at Stockholm University.☆18Updated last year
- GAMI-Net: Generalized Additive Models with Structured Interactions☆31Updated 3 years ago
- Wrapper around MLForecast for more plug and play forecasting☆10Updated 2 years ago
- Machine Learning models using a Bayesian approach and often PyMC3☆25Updated 4 years ago
- ☆25Updated 3 months ago
- Regression model building and forecasting in R☆31Updated last month
- ProbCast: an R Package for Flexible Probabilistic Forecasting☆33Updated last year
- Implementation of algorithms from the paper "Globally-Consistent Rule-Based Summary-Explanations for Machine Learning Models: Application…☆25Updated 3 years ago
- ☆16Updated 4 years ago
- Conformal Prediction-Based Global and Model Agnostic Explainability for Classification tasks.☆26Updated 11 months ago
- Code for Flexible Model Aggregation for Quantile Regression☆18Updated 3 years ago