☆26Feb 16, 2022Updated 4 years ago
Alternatives and similar repositories for Causal4Application
Users that are interested in Causal4Application are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Python implementation of Entropy Balancing for binary and continuous treatment☆21Dec 16, 2025Updated 7 months ago
- ☆49Oct 22, 2024Updated last year
- Code for NeurIPS 2020 paper: "Estimating the Effects of Continuous-valued Interventions using Generative Adversarial Networks" by I. Bica…☆30Jan 8, 2021Updated 5 years ago
- ☆25Oct 20, 2025Updated 9 months 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
- End-to-end encrypted email - Proton Mail • AdSpecial offer: 40% Off Yearly / 80% Off First Month. All Proton services are open source and independently audited for security.
- This repository collects recent top papers about causal inference for recommendation. We will keep updating the paper list weekly.☆16May 3, 2022Updated 4 years ago
- Official code of "Boosting Differentiable Causal Discovery via Adaptive Sample Reweighting" (2023 ICLR)☆16Mar 19, 2023Updated 3 years ago
- An awesome list of Causality and Machine Learning related papers, books and other resources.☆12Nov 13, 2023Updated 2 years ago
- ☆30Aug 4, 2022Updated 4 years ago
- Causality with machine learning, topic including causal represenation learning, causal reinforcement learning☆11Apr 19, 2021Updated 5 years ago
- Code for "Learning Deep Features in Instrumental Variable Regression" (https://arxiv.org/abs/2010.07154)☆16Sep 16, 2024Updated last year
- Code for paper "Estimating Trustworthy Treatment Effects for Antibiotic Stewardship in Sepsis"☆19Mar 6, 2023Updated 3 years ago
- ➕➕ Perfect Match is a simple method for learning representations for counterfactual inference with neural networks.☆132Mar 24, 2023Updated 3 years ago
- Code for the causal benchmark library☆13Mar 11, 2025Updated 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.
- Here is a list of papers related to causal reinforcement learning, and I hope you can submit relevant missing papers in the issue.☆19Jan 23, 2024Updated 2 years ago
- Efficient Conditionally Invariant Representation Learning (ICLR 2023, Oral)☆21Nov 27, 2022Updated 3 years ago
- Python implementation of the Invariant Causal Prediction (ICP) algorithm, from the 2015 paper "Causal inference using invariant predictio…☆27Feb 15, 2024Updated 2 years ago
- Code for paper "Estimating Causal Effects on Networked Observational Data via Representation Learning"☆20May 28, 2023Updated 3 years ago
- Implementation of paper DESCN, which is accepted in SIGKDD 2022.☆117Dec 27, 2023Updated 2 years ago
- Implementation of DeepAR in PyTorch.☆10Aug 5, 2019Updated 7 years ago
- Predicting treatment effects from RCTs (Circulation: CQO 2019).☆10Jun 21, 2022Updated 4 years ago
- ☆10Apr 18, 2017Updated 9 years ago
- Experiments codes for SIGKDD '23 paper "Explicit Feature Interaction-aware Uplift Network for Online Marketing"☆92Jul 31, 2024Updated 2 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Code for the paper "Optimal Off-Policy Evaluation from Multiple Logging Policies"☆15Jul 17, 2021Updated 5 years ago
- Uplift Modeling for Multiple Treatments☆16Sep 3, 2021Updated 4 years ago
- Neural Networks package for R with a fast C++ back-end and special support for unsupervised anomaly detection using autoencoders☆12Oct 9, 2025Updated 10 months ago
- Implementation of neural network algorithm for estimation of heterogeneous treatment effects and propensity scores described in Farrell, …☆13Jun 19, 2021Updated 5 years ago
- code for "Addressing Exposure Bias in Uplift Modeling forLarge-scale Online Advertising"☆41Feb 11, 2022Updated 4 years ago
- Software used for papers published by CAUSALab members☆12Oct 23, 2025Updated 9 months ago
- Code for CIKM'18 paper, Linked Causal Variational Autoencoder for Inferring Paired Spillover Effects.☆15Jan 15, 2023Updated 3 years ago
- Code to reproduce the experiments from the paper "Self-Compatibility: Evaluating Causal Discovery without Ground Truth"☆12Mar 9, 2024Updated 2 years ago
- Contains implementation of the DoubIL and ResiduIL algorithms from the ICML '22 paper Causal Imitation Learning under Temporally Correlat…☆11Dec 9, 2022Updated 3 years ago
- Proton VPN Special Offer - Get 70% off • AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- This repository is the demo implementation of [Deep Dimension Reduction for Supervised Representation Learning].☆12Sep 12, 2024Updated last year
- EKG Analysis code for the MI3 intern group at CHOC Children's☆17Feb 10, 2019Updated 7 years ago
- GNN implementations with PyG☆19Dec 5, 2024Updated last year
- Source code for the paper "Causal Modeling of Twitter Activity during COVID-19". Computation, 2020.☆11Jun 12, 2023Updated 3 years ago
- ACM CHIL 2021: "Enabling Counterfactual Survival Analysis with Balanced Representations"☆13Apr 4, 2021Updated 5 years ago
- ☆33Aug 10, 2025Updated last year
- Code for "Score-based Generative Modeling Secretly Minimizes the Wasserstein Distance", NeurIPS 2022☆17Feb 11, 2023Updated 3 years ago