CausalDM / Causal-Decision-MakingLinks
☆32Updated 7 months ago
Alternatives and similar repositories for Causal-Decision-Making
Users that are interested in Causal-Decision-Making are comparing it to the libraries listed below
Sorting:
- Materials Collection for Causal Inference☆46Updated 2 years ago
- A curated list of awesome work on causal inference, particularly in machine learning.☆105Updated 4 years ago
- Causality with machine learning, topic including causal represenation learning, causal reinforcement learning☆11Updated 4 years ago
- ☆23Updated 3 years ago
- Reinforcement Learning Short Course☆64Updated 5 months ago
- EconML/CausalML KDD 2021 Tutorial☆161Updated last year
- Notebooks for Applied Causal Inference Powered by ML and AI☆118Updated 2 months ago
- Example causal datasets with consistent formatting and ground truth☆83Updated last month
- Realistic benchmark for different causal inference methods. The realism comes from fitting generative models to data with an assumed caus…☆75Updated 4 years ago
- ☆35Updated 5 years ago
- python implementation of Peng Ding's "First Course in Causal Inference"☆164Updated last year
- Implementation of "Dynamic Causal Effects Evaluation in A/B Testing with a Reinforcement Learning Framework" (JASA 2023)☆30Updated last year
- Codebase for GANITE: Estimation of Individualized Treatment Effects using GANs - ICLR 2018☆61Updated 5 years ago
- codes for the paper Deep Learning Based Casual Inference for Combinatorial Experiments☆11Updated 2 months ago
- ☆33Updated 2 years ago
- [ NeurIPS 2023 ] Official Codebase for "Conformal Meta-learners for Predictive Inference of Individual Treatment Effects"☆44Updated last year
- Code for the paper "Causal Transformer for Estimating Counterfactual Outcomes"☆149Updated 9 months ago
- Sklearn-style implementations of Neural Network-based Conditional Average Treatment Effect (CATE) Estimators.☆140Updated 11 months ago
- A curated list of causal reinforcement learning resources.☆87Updated last year
- ☆55Updated last week
- ☆10Updated 3 years ago
- ☆39Updated 6 years ago
- Active Bayesian Causal Inference (Neurips'22)☆54Updated 10 months ago
- Code for Colangelo and Lee (2025)☆13Updated 4 months ago
- 关于causal discovery, invariant learning, machine learning等方向的论文阅读笔记和slides总结☆30Updated 6 months ago
- Notes for Judea Pearl et al., *Causal Inference in Statistics, a Primer*☆66Updated 5 years ago
- Code for the WSDM '20 paper, Learning Individual Causal Effects from Networked Observational Data.☆75Updated 3 years ago
- Code accompanying the paper "Empirical analysis of model selection for heterogeneous causal effect estimation"☆13Updated 4 months ago
- Materials for the course Principles of AI: LLMs at UPenn (Stat 9911, Spring 2025). LLM architectures, training paradigms (pre- and post-t…☆33Updated this week
- Non-parametrics for Causal Inference☆47Updated 3 years ago