☆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☆22Dec 16, 2025Updated 10 months ago
- [ICLR 2021] Code for: Varying Coefficient Neural Network with Functional Targeted Regularization for Estimating Continuous Treatment Effe…☆100Sep 11, 2022Updated 4 years ago
- 💉📈 Dose response networks (DRNets) are a method for learning to estimate individual dose-response curves for multiple parametric treatm…☆96Mar 24, 2023Updated 3 years ago
- ☆25Oct 20, 2025Updated last year
- ☆49Oct 22, 2024Updated 2 years ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- Papers collections that is related to knowledge graph, causal inference, and large language model☆75Aug 8, 2024Updated 2 years ago
- Official Implementation of Paper [NeurIPS 2024] DiffPO: A causal diffusion model for predicting potential outcomes of treatments☆14May 23, 2025Updated last year
- ☆30Aug 4, 2022Updated 4 years ago
- A meticulously curated collection of cutting-edge research, frameworks, and methodologies in Causal Artificial Intelligence.☆18May 13, 2026Updated 5 months ago
- Code for Colangelo and Lee (2025)☆17Feb 3, 2025Updated last year
- An awesome list of Causality and Machine Learning related papers, books and other resources.☆12Nov 13, 2023Updated 2 years ago
- Code for paper "Estimating Trustworthy Treatment Effects for Antibiotic Stewardship in Sepsis"☆20Mar 6, 2023Updated 3 years ago
- An Alternative Implementation of Entropy Balancing Weights For Estimating Causal Effects☆11Jul 28, 2021Updated 5 years ago
- Code for the causal benchmark library☆13Mar 11, 2025Updated last year
- 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.
- 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
- Code for paper "Estimating Causal Effects on Networked Observational Data via Representation Learning"☆21May 28, 2023Updated 3 years ago
- Efficient Conditionally Invariant Representation Learning (ICLR 2023, Oral)☆21Nov 27, 2022Updated 3 years ago
- CausalDisco contains baseline algorithms and analytics tools for Causal Discovery. The package can be installed by running `pip install C…☆19Updated this week
- The official PyTorch implementation of "Causal Learning Empowered OD Prediction for Urban Planning" (CIKM 2022).☆11Mar 10, 2023Updated 3 years ago
- ☆10Apr 18, 2017Updated 9 years ago
- Implementation of paper DESCN, which is accepted in SIGKDD 2022.☆120Dec 27, 2023Updated 2 years ago
- a web-based interactive browser of a survey on ML4VIS studies☆12Aug 7, 2024Updated 2 years ago
- Predicting treatment effects from RCTs (Circulation: CQO 2019).☆10Jun 21, 2022Updated 4 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- A containerized HTTP server that executes code in many languages☆11Jul 19, 2024Updated 2 years ago
- LLM-MemoryInspector is a Python-based toolkit designed to explore how LLMs memorize and retrieve MovieLens-1M specific information using …☆10Mar 21, 2026Updated 7 months ago
- This is a repository of the experiment code supporting the paper Real-time Bidding Strategy in Display Advertising: An Empirical Analysis…☆44Oct 17, 2022Updated 4 years ago
- Realistic benchmark for different causal inference methods. The realism comes from fitting generative models to data with an assumed caus…☆90Mar 29, 2021Updated 5 years ago
- Learning Transferable Features with Deep Adaptation Networks☆12Jul 18, 2023Updated 3 years ago
- Sklearn-style implementations of Neural Network-based Conditional Average Treatment Effect (CATE) Estimators.☆160Jun 22, 2024Updated 2 years ago
- On the Role of Sparsity and DAG Constraints for Learning Linear DAGs☆37Jun 23, 2021Updated 5 years ago
- code for "Addressing Exposure Bias in Uplift Modeling forLarge-scale Online Advertising"☆41Feb 11, 2022Updated 4 years ago
- official implementation for "Quadratic Direct Forecast for Training Multi-Step Time-Series Forecast Models"☆13Nov 28, 2025Updated 11 months ago
- Proton VPN Special Offer - Get 70% off • AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- ACM CHIL 2021: "Enabling Counterfactual Survival Analysis with Balanced Representations"☆13Apr 4, 2021Updated 5 years ago
- ☆20Feb 24, 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
- Source code for the paper "Causal Modeling of Twitter Activity during COVID-19". Computation, 2020.☆10Jun 12, 2023Updated 3 years ago
- Code for ICML 2021 paper "Regularizing towards Causal Invariance: Linear Models with Proxies" (ICML 2021)☆11Mar 14, 2022Updated 4 years ago
- Implementation of neural network algorithm for estimation of heterogeneous treatment effects and propensity scores described in Farrell, …☆13Jun 19, 2021Updated 5 years ago
- ☆12Jun 5, 2024Updated 2 years ago