Non-parametrics for Causal Inference
☆52Mar 17, 2022Updated 4 years ago
Alternatives and similar repositories for npci
Users that are interested in npci are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Synthetic controls for micro-level data☆16Apr 25, 2025Updated last year
- Python package that provides a suite of modeling & causal inference methods using machine learning algorithms based on Elevance Health re…☆14Aug 1, 2023Updated 2 years ago
- Code to run submissions for the Atlantic Causal Inference Competition☆45Aug 14, 2024Updated last year
- Counterfactual Regression☆25Jul 12, 2016Updated 10 years ago
- Causal Effect Inference with Deep Latent-Variable Models☆369Jul 17, 2020Updated 6 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- This repository contains the code used in a publication 'Active Learning for Decision-Making from Imbalanced Observational Data', Iiris S…☆11May 14, 2019Updated 7 years ago
- Monotonic Dense Layer implemented in Keras☆10Apr 14, 2025Updated last year
- Causal Inference using Bayesian Additive Regression Trees☆87Updated this week
- Project on Causal Machine learning CS 7290☆16Dec 7, 2019Updated 6 years ago
- Package for heterogeneous causal effects in the presence of imperfect compliance (e.g., instrumental variables, fuzzy regression disconti…☆18Mar 6, 2024Updated 2 years ago
- ☆298Apr 3, 2022Updated 4 years ago
- ☆25Sep 1, 2023Updated 2 years ago
- R and python implementations of Accelerated Bayesian Causal Forest.☆24Jun 25, 2024Updated 2 years ago
- Lightweight PC algorithm for causal skeleton discovery — pip + CLI + graph viz☆19Jul 15, 2026Updated last week
- End-to-end encrypted cloud storage - Proton Drive • AdSpecial offer: 40% Off Yearly / 80% Off First Month. Protect your most important files, photos, and documents from prying eyes.
- time course regulatory analysis from paired gene expression and chromatin accessibility time course data☆11Nov 10, 2023Updated 2 years ago
- DGCIT: Double Generative Adversarial Networks for Conditional Independence Testing☆11Nov 22, 2023Updated 2 years ago
- The pygformula implements the parametric g-formula in Python. The parametric g-formula (Robins, 1986) uses longitudinal data with time-va…☆33May 22, 2026Updated 2 months ago
- ☆11Jan 21, 2021Updated 5 years ago
- Causal Mediation analysis☆10Jul 18, 2026Updated last week
- Reimplementation of NOTEARS in Tensorflow☆32Mar 24, 2023Updated 3 years ago
- [ICLR 2021] Code for: Varying Coefficient Neural Network with Functional Targeted Regularization for Estimating Continuous Treatment Effe…☆98Sep 11, 2022Updated 3 years ago
- Publicly available code from my publications 📝☆20Updated this week
- Double Machine Learning for Multiple Treatments☆41Dec 4, 2020Updated 5 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- PhiSpace for continuous phenotyping single-cell and spatial transcriptomics data☆17Jul 3, 2026Updated 3 weeks ago
- An efficient method for sampling from the Gram--Schmidt Walk Design.☆14Sep 16, 2023Updated 2 years ago
- ☆19Aug 18, 2019Updated 6 years ago
- Quasi-Oracle Estimation of Heterogeneous Treatment Effects☆124Apr 10, 2021Updated 5 years ago
- R package cfcausal☆32Dec 6, 2022Updated 3 years ago
- Causal Inference☆11May 25, 2020Updated 6 years ago
- ☆10Nov 30, 2022Updated 3 years ago
- Nearest Neighbor Kernel Conditional Density Estimation☆12May 9, 2020Updated 6 years ago
- 💉📈 Dose response networks (DRNets) are a method for learning to estimate individual dose-response curves for multiple parametric treatm…☆95Mar 24, 2023Updated 3 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Data for and description of the ACIC 2023 data competition☆33Jun 9, 2023Updated 3 years ago
- Datasets for the 6th Edition of the book Applied Multivariate Statistical Analysis by Richard Johnson and Dean Wichern☆11May 18, 2017Updated 9 years ago
- Implementation of Deep IV: A Flexible Approach for Counterfactual Prediction☆160Jun 17, 2021Updated 5 years ago
- ☆49Jan 20, 2023Updated 3 years ago
- Towards Automated Causal Discovery☆11Aug 20, 2024Updated last year
- ☆22Nov 11, 2023Updated 2 years ago
- A sensitivity analysis package for causal effects☆12Mar 18, 2024Updated 2 years ago