bquistorff / pricingengineLinks
β19Updated 7 years ago
Alternatives and similar repositories for pricingengine
Users that are interested in pricingengine are comparing it to the libraries listed below
Sorting:
- πͺ Bayesian Hierarchical Models at Scaleβ51Updated 3 years ago
- A full example for causal inference on real-world retail data, for elasticity estimationβ50Updated 4 years ago
- An extension of CatBoost to probabilistic modellingβ145Updated last year
- β17Updated 5 years ago
- Example usage of scikit-htsβ57Updated 3 years ago
- Repo for PyData 2019 Tutorial - New Trends in Estimation and Inferenceβ25Updated 5 years ago
- Better `keras` models for time series and beyondβ61Updated last year
- Machine learning based causal inference/uplift in Pythonβ61Updated last year
- Unstructured Code with interesting analysisβ37Updated 8 months ago
- π Comparing causality methods in a fair and just way.β139Updated 5 years ago
- Hierarchical Time Series Forecasting using Prophetβ144Updated 4 years ago
- Time Series Forecasting and Imputationβ48Updated 3 years ago
- A python package for hierarchical forecasting, inspired by hts package in R.β28Updated 5 months ago
- Learn Pyro through the M5 forecasting competitionβ85Updated 5 years ago
- WIP predicted survival functionsβ38Updated 5 years ago
- Bandit algorithms for dynamic pricing of many productsβ42Updated 5 years ago
- stratx is a library for A Stratification Approach to Partial Dependence for Codependent Variablesβ66Updated last year
- Repository containing the code of the projects presented in my personal website.β42Updated last week
- Code for Shopper, a probabilistic model of shopping basketsβ52Updated 4 years ago
- Code for blog posts.β19Updated last year
- Survival Analysis with non-parametric, semi-parametric, and parametric modelsβ39Updated 7 years ago
- Fit Sparse Synthetic Control Models in Pythonβ83Updated last year
- This repository contains the experiments related with a new baseline model that can be used in forecasting weekly time series. This modelβ¦β47Updated 3 years ago
- (ml) - python implementation of bayesian media mix modelling with shape and carryover effectβ58Updated 3 years ago
- GRAPL: A computational library for nonparametric structural causal modelling, analysis and inferenceβ81Updated 6 months ago
- In which I play with the ideas surrounding causalityβ53Updated 2 years ago
- Bayesian time series forecasting and decision analysisβ116Updated 2 years ago
- Python library to explain Tree Ensemble models (TE) like XGBoost, using a rule list.β57Updated last year
- Causai is a Python package for Causality in Machine Learning. We provide state-of-the-art causal algorithms and ML into decision-making sβ¦β13Updated 4 years ago
- Time Series Forecasting Frameworkβ41Updated 2 years ago