#

econml

Here are 4 public repositories matching this topic...

harveybc / causal-inference

Cusal Inference applied to timeseries, uses an event database to generate a timeseries of the outcome given a sliding window containing events. Useful to add causal outcomes of events into multivariate timeseries forecasting models.

python machine-learning ai timeseries deep-learning event-data forecasting plugin-system causal-inference heterogeneous-data lineal-regression meta-learning random-tree outcome-prediction causal-machine-learning double-machine-learning external-plugin pywhy econml

Updated Jan 22, 2025
Python

SepineTam / DeepEcon

DeepEcon is a GPU-accelerated Python package for causal inference instead of using EconML, offering a more user-friendly interface for Double Machine Learning (DML) and related methods.

dml economics econml

Updated Jun 4, 2025
Python

roniantoniius / Causal-Inference-Interpretation-for-Employee-Resignation

Causal analysis to predict factors affecting employee resignation using the Causal Inference method on company datasets.

machine-learning employees causality-analysis causal-inference resignation econml

Updated Jun 24, 2024
Jupyter Notebook

SuRak35 / Causal_Inference__ISI-Kolkata

Internship Project on Causal Inference (The causal effect of multi-level treatment of intervention using observational data).

python data-science data-visualization data-analysis causal-inference googlecolab dowhy econml

Updated Dec 9, 2024
Jupyter Notebook

Improve this page

Add a description, image, and links to the econml topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the econml topic, visit your repo's landing page and select "manage topics."