AlxndrMlk / blogs-code
Code for blog posts.
☆17Updated last year
Related projects ⓘ
Alternatives and complementary repositories for blogs-code
- Causal Inference in Python☆38Updated 3 months ago
- An R package to estimate the effect of interventions on univariate time series using ARIMA models☆18Updated 6 months ago
- Machine Learning models using a Bayesian approach and often PyMC3☆25Updated 3 years ago
- Implementation of Conformal Convolution T-learner (CCT) and Conformal Monte Carlo (CMC) learner☆14Updated 5 months ago
- 🪜 Bayesian Hierarchical Models at Scale☆51Updated 3 years ago
- Data for and description of the ACIC 2023 data competition☆32Updated last year
- [ NeurIPS 2023 ] Official Codebase for "Conformal Meta-learners for Predictive Inference of Individual Treatment Effects"☆42Updated last year
- CJOBS☆13Updated 5 years ago
- Causal Inference Using Quasi-Experimental Methods☆20Updated 3 years ago
- python app for doing personalized causal medicine using the methods invented by Judea Pearl et al.☆24Updated last year
- A full example for causal inference on real-world retail data, for elasticity estimation☆45Updated 3 years ago
- A python package for hierarchical forecasting, inspired by hts package in R.☆29Updated 9 months ago
- XAI Stories. Case studies for eXplainable Artificial Intelligence☆29Updated 4 years ago
- GRAPL: A computational library for nonparametric structural causal modelling, analysis and inference☆79Updated 11 months ago
- ☆12Updated 9 months ago
- A Python library that implements scoring utilities, analysis strategies, and visualization methods which can serve uplift modeling use-ca…☆22Updated last year
- A Python Package providing two algorithms, DAME and FLAME, for fast and interpretable treatment-control matches of categorical data☆57Updated 5 months ago
- Surrogate Assisted Feature Extraction☆36Updated 3 years ago
- Unstructured Code with interesting analysis☆35Updated last month
- The cause2e package provides tools for performing an end-to-end causal analysis of your data. Developed by Daniel Grünbaum (@dg46).☆57Updated last year
- Conformal Time Series Forecasting Using State of Art Machine Learning Algorithms☆24Updated 2 years ago
- ☆16Updated 5 years ago
- ☆15Updated 4 months ago
- Code for the paper "CAREER: Transfer Learning for Economic Prediction of Labor Sequence Data"☆32Updated 5 months ago
- Causal Impact but with MFLES and conformal prediction intervals☆34Updated 9 months ago
- Tools for causal discovery in R☆18Updated 5 months ago
- Active Bayesian Causal Inference (Neurips'22)☆51Updated 3 months ago
- Causing: CAUsal INterpretation using Graphs☆55Updated 3 weeks ago
- This repository contains the experiments related with a new baseline model that can be used in forecasting weekly time series. This model…☆47Updated 2 years ago
- Causal Inference for Time Series Data (with CausalML Demo)☆12Updated last year