fulifeng / Causal_Reading_Group
We will keep updating the paper list about machine learning + causal theory. We also internally discuss related papers between NExT++ (NUS) and LDS (USTC) by week.
☆510Updated last year
Alternatives and similar repositories for Causal_Reading_Group:
Users that are interested in Causal_Reading_Group are comparing it to the libraries listed below
- Must-read papers and resources related to causal inference and machine (deep) learning☆689Updated 2 years ago
- A data index for learning causality.☆448Updated last year
- A (concise) curated list of awesome Causal Inference resources.☆223Updated 2 years ago
- DAGs with NO TEARS: Continuous Optimization for Structure Learning☆612Updated 8 months ago
- Causal Discovery in Python. It also includes (conditional) independence tests and score functions.☆1,251Updated this week
- Extensive tutorials for learning how to build deep learning models for causal inference (HTE) using selection on observables in Tensorflo…☆306Updated 3 months ago
- ☆253Updated 2 years ago
- A curated list of research papers in exploring causality in vision. Link to the code if available is also present.☆234Updated 4 years ago
- We organize papers related to causal that published on top conferences recently. (因果领域论文分类汇总)☆76Updated last year
- A list of Graph Causal Learning materials.☆188Updated 9 months ago
- Trustworthy AI related projects☆993Updated last week
- ☆295Updated 3 years ago
- A curated list of awesome work on causal inference, particularly in machine learning.☆96Updated 3 years ago
- ☆18Updated 2 years ago
- Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.☆1,145Updated 9 months ago
- ☆26Updated 2 years ago
- An index of algorithms for learning causality with data☆3,079Updated last year
- 把因果思维融入机器学习中☆79Updated 5 years ago
- Causal Effect Inference with Deep Latent-Variable Models☆328Updated 4 years ago
- ☆40Updated 5 years ago
- Curated research at the intersection of causal inference and natural language processing.☆790Updated 11 months ago
- A reading list for papers on causality for natural language processing (NLP)☆593Updated last month
- 🛠 How to Apply Causal ML to Real Scene Modeling?How to learn Causal ML?【✔从Causal ML到实际场景的Uplift建模】☆119Updated last year
- ☆23Updated 2 years ago
- 关于causal discovery, invariant learning, machine learning等方向的论文阅读笔记和slides总结☆28Updated last month
- Sklearn-style implementations of Neural Network-based Conditional Average Treatment Effect (CATE) Estimators.☆131Updated 6 months ago
- 关于domain generalization,domain adaptation,causality,robutness,prompt,optimization,generative model各式各样研究的阅读笔记☆1,188Updated last year
- Code for the WSDM '20 paper, Learning Individual Causal Effects from Networked Observational Data.☆75Updated 3 years ago
- Counterfactual Regression☆298Updated 2 years ago
- Resources related to causality☆258Updated 10 months ago