amazon-science / causal-forecasting
☆12Updated 9 months ago
Related projects ⓘ
Alternatives and complementary repositories for causal-forecasting
- A Python Package for Probabilistic Prediction☆22Updated 3 years ago
- Unstructured Code with interesting analysis☆35Updated last month
- Implementation of algorithms from the paper "Globally-Consistent Rule-Based Summary-Explanations for Machine Learning Models: Application…☆24Updated 2 years ago
- Surrogate Assisted Feature Extraction☆36Updated 3 years ago
- A Python package with explanation methods for extraction of feature interactions from predictive models☆27Updated last year
- Causal Impact but with MFLES and conformal prediction intervals☆34Updated 9 months ago
- Repository for the explanation method Calibrated Explanations (CE)☆53Updated this week
- Cyclic Boosting Machines - an explainable supervised machine learning algorithm☆59Updated 2 months ago
- Prune your sklearn models☆19Updated 3 weeks ago
- Data for and description of the ACIC 2023 data competition☆32Updated last year
- A full example for causal inference on real-world retail data, for elasticity estimation☆45Updated 3 years ago
- sktime - python toolbox for time series: pipelines and transformers☆25Updated last year
- A Python library that implements scoring utilities, analysis strategies, and visualization methods which can serve uplift modeling use-ca…☆22Updated last year
- My collection of causal inference algorithms built on top of accessible, simple, out-of-the-box ML methods, aimed at being explainable an…☆28Updated last year
- Prototype search engine for ONS bulletins☆23Updated 7 months ago
- Conformal Time Series Forecasting Using State of Art Machine Learning Algorithms☆24Updated 2 years ago
- An R package to estimate the effect of interventions on univariate time series using ARIMA models☆18Updated 6 months ago
- This project introduces Causal AI and how it can drive business value.☆36Updated 2 months ago
- Supporting material for the book club☆15Updated 2 years ago
- 📈🔍 Lets Python do AB testing analysis☆75Updated 7 months ago
- Explainable Boosted Scoring☆11Updated 2 months ago
- Statistical/Machine Learning using Randomized and Quasi-Randomized (neural) networks (currently Python & R)☆14Updated this week
- Fast implementations of common forecasting routines☆30Updated this week
- Causal Inference in Python☆38Updated 3 months ago
- Jupyter Notebook adaptation of the code from Huber (2023) - Causal Analysis☆11Updated 4 months ago
- Wrapper around MLForecast for more plug and play forecasting☆11Updated last year
- Code for the AISTATS 2024 Paper "From Data Imputation to Data Cleaning - Automated Cleaning of Tabular Data Improves Downstream Predictiv…☆19Updated 9 months ago
- A python package for hierarchical forecasting, inspired by hts package in R.☆29Updated 9 months ago
- Code for blog posts.☆17Updated last year
- ☆32Updated last year