Code for the paper "Causal Transformer for Estimating Counterfactual Outcomes"
☆192Aug 13, 2024Updated last year
Alternatives and similar repositories for CausalTransformer
Users that are interested in CausalTransformer are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Code for ICLR 2020 paper: "Estimating counterfactual treatment outcomes over time through adversarially balanced representations" by I. B…☆73Mar 21, 2024Updated 2 years ago
- ☆40Dec 11, 2018Updated 7 years ago
- Code for ICML 2020 paper: "Time Series Deconfounder: Estimating Treatment Effects over Time in the Presence of Hidden Confounders" by I. …☆52Jan 7, 2021Updated 5 years ago
- Sklearn-style implementations of Neural Network-based Conditional Average Treatment Effect (CATE) Estimators.☆158Jun 22, 2024Updated 2 years ago
- ☆15Oct 2, 2024Updated last year
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- ☆298Apr 3, 2022Updated 4 years ago
- Amortized Inference for Causal Structure Learning, NeurIPS 2022☆79Feb 11, 2025Updated last year
- The repository contains lists of papers on causality and how relevant techniques are being used to further enhance deep learning era comp…☆100Aug 28, 2023Updated 2 years ago
- Extensive tutorials for learning how to build deep learning models for causal inference (HTE) using selection on observables in Tensorflo…☆355Oct 17, 2024Updated last year
- Deep Counterfactual Prediction with Categorical Backward Variables☆12Feb 8, 2023Updated 3 years ago
- ☆32Apr 17, 2025Updated last year
- Papers collections that is related to knowledge graph, causal inference, and large language model☆74Aug 8, 2024Updated last year
- NeurIPS2022-Debiasing Graph Neural Networks via Learning Disentangled Causal Substructure☆47Nov 13, 2023Updated 2 years ago
- A Data-Driven Approach to Predict the Success of Bank Telemarketing☆10Apr 27, 2021Updated 5 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Causal Effect Inference with Deep Latent-Variable Models☆369Jul 17, 2020Updated 6 years ago
- ☆10Nov 30, 2022Updated 3 years ago
- This is the code for the paper Embrace the Gap: VAEs perform Independent Mechanism Analysis, showing that optimizing the ELBO is equivale…☆22Apr 22, 2024Updated 2 years ago
- Repository for Deep Structural Causal Models for Tractable Counterfactual Inference☆298Jul 6, 2023Updated 3 years ago
- ☆533Dec 16, 2024Updated last year
- Rankability-enhanced Revenue Uplift Modeling Framework for Online Marketing (KDD 2024)☆29May 24, 2024Updated 2 years ago
- Code accompanying the paper "Empirical analysis of model selection for heterogeneous causal effect estimation"☆17Jan 28, 2025Updated last year
- A curated list of causal reinforcement learning resources.☆111Dec 16, 2023Updated 2 years ago
- Neural Causal Model (NCM) implementation by the authors of The Causal Neural Connection.☆33Dec 12, 2022Updated 3 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.
- ☆16Aug 2, 2022Updated 3 years ago
- Trustworthy AI related projects☆1,127Jun 1, 2026Updated last month
- Meta-RL Model-Based Algorithm☆46Apr 30, 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
- Implementation of AAAI 2016 paper Efficient Learning of Timeseries Shapelets☆14Mar 6, 2019Updated 7 years ago
- An index of algorithms for learning causality with data☆3,271Jan 22, 2025Updated last year
- repository for Causal&NLP reading group☆11Jan 30, 2026Updated 5 months ago
- ➕➕ Perfect Match is a simple method for learning representations for counterfactual inference with neural networks.☆132Mar 24, 2023Updated 3 years ago
- ☆26Jul 20, 2022Updated 4 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Diffusion Models for Causal Discovery☆92Mar 17, 2023Updated 3 years ago
- Pytorch implementation of Markov RNNs☆16Feb 18, 2019Updated 7 years ago
- Codebase for GANITE: Estimation of Individualized Treatment Effects using GANs - ICLR 2018☆71Apr 25, 2020Updated 6 years ago
- Code for building and experimenting on saliency maps for RL agents.☆12Feb 13, 2020Updated 6 years ago
- Propensity score Matching and Subclassification with 3 or more Treatments☆22Dec 1, 2019Updated 6 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
- Counterfactual Generative Modeling with Variational Causal Inference (ICLR 2025)☆21Sep 30, 2025Updated 9 months ago