☆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 5 months ago
- ☆25Oct 20, 2025Updated 7 months ago
- ☆50Oct 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
- 💉📈 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
- 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.
- 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
- [JAMIA] Official repository of Deep Propensity Network - Sparse Autoencoder(DPN-SA)☆11Jul 28, 2022Updated 3 years ago
- Code for "Learning Deep Features in Instrumental Variable Regression" (https://arxiv.org/abs/2010.07154)☆16Sep 16, 2024Updated last year
- Code for Colangelo and Lee (2025)☆17Feb 3, 2025Updated last year
- Code for the causal benchmark library☆13Mar 11, 2025Updated last year
- ➕➕ Perfect Match is a simple method for learning representations for counterfactual inference with neural networks.☆132Mar 24, 2023Updated 3 years ago
- Python implementation of the Invariant Causal Prediction (ICP) algorithm, from the 2015 paper "Causal inference using invariant predictio…☆25Feb 15, 2024Updated 2 years ago
- Efficient Conditionally Invariant Representation Learning (ICLR 2023, Oral)☆21Nov 27, 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.
- Implementation of paper DESCN, which is accepted in SIGKDD 2022.☆116Dec 27, 2023Updated 2 years ago
- The official PyTorch implementation of "Causal Learning Empowered OD Prediction for Urban Planning" (CIKM 2022).☆11Mar 10, 2023Updated 3 years ago
- Stable Differentiable Causal Discovery (SDCD)☆27Jun 17, 2024Updated last year
- An Alternative Implementation of Entropy Balancing Weights For Estimating Causal Effects☆11Jul 28, 2021Updated 4 years ago
- Implementation of DeepAR in PyTorch.☆10Aug 5, 2019Updated 6 years ago
- Papers collections that is related to knowledge graph, causal inference, and large language model☆72Aug 8, 2024Updated last year
- 📚 A collection of awesome Causality in ST data papers.☆59Mar 21, 2026Updated 2 months ago
- Experiments codes for SIGKDD '23 paper "Explicit Feature Interaction-aware Uplift Network for Online Marketing"☆92Jul 31, 2024Updated last year
- On the Role of Sparsity and DAG Constraints for Learning Linear DAGs☆37Jun 23, 2021Updated 4 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- ☆12Jun 5, 2024Updated 2 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 8 months ago
- Implementation of neural network algorithm for estimation of heterogeneous treatment effects and propensity scores described in Farrell, …☆13Jun 19, 2021Updated 4 years ago
- Code for ICML 2021 paper "Regularizing towards Causal Invariance: Linear Models with Proxies" (ICML 2021)☆11Mar 14, 2022Updated 4 years ago
- MR-link and genome integration. genome_integration is a repository for the analysis of genomic data. Specifically, the repository impleme…☆11Jul 8, 2022Updated 3 years ago
- Uplift Modeling for Multiple Treatments☆16Sep 3, 2021Updated 4 years ago
- Official code for the paper "Joint Bayesian Inference of Graphical Structure and Parameters with a Single Generative Flow Network"☆17Aug 9, 2023Updated 2 years ago
- Rankability Enhanced Revenue Uplift Modeling Framework for Online Marketing (KDD 2024)☆23May 24, 2024Updated 2 years ago
- Code to reproduce the paper "Do causal predictors generalize better to new domains?"☆16Feb 7, 2025Updated last year
- 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.
- Source code for the paper "Causal Modeling of Twitter Activity during COVID-19". Computation, 2020.☆11Jun 12, 2023Updated 3 years ago
- ☆12Apr 17, 2024Updated 2 years ago
- Counterfactual Regression☆319Dec 7, 2022Updated 3 years ago
- Codebase for Hyperdecoders https://arxiv.org/abs/2203.08304☆14Oct 11, 2022Updated 3 years ago
- Scala练习项目:包括scala基础知识,Spark RDD,DataFrame,Spark SQL,spark与HDFS、Phoenix、Hbase交互。☆12Nov 11, 2022Updated 3 years ago
- A Causal AI package for causal graphs.☆61Mar 4, 2026Updated 3 months ago
- Improving the Fairness of Chest X-ray Classifiers☆14Mar 24, 2022Updated 4 years ago