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Current Projects
AICC Data Challenge
AICC Data Challenge
The Annual Atlantic Causal Inference Conference (ACIC) Data Challenge provides an opportunity to compare causal inference methodologies across a variety of data generating processes (DGP)
- Atlantic Causal Inference Conference 2019 Data Challenge
- ACIC Data Challenge 2019 英文背诵
- ACIC Data Challenge 2019 Quick Start
- ACIC Data Challenge 2019 End to End
- Atlantic Causal Inference Conference 2018 Data Challenge
此竞赛尚未完善，开源解决方案参考 Vincent Dorie(2018)。
Q1. How to evaluation the performance in AICC Data Challenge?
论文 Automated versus do-it-yourself methods for causal inference: Lessons learned from a data analysis competition 总结了该竞赛的评估方法，给出和评价了相关优胜结果。
Collecting causality datasets. Ruocheng Guo(2019) 给出了因果数据集的分类及其对应的方法. 本项目的目的是 An index of datasets that can be used for learning causality and jupyter-notebook example for them.
Causal Inference with Deep Learning
Causal Inference with Deep Learning
关注深度学习与因果推断的结合.
Pyro + Handbook
Pyro + Handbook
Pyro + Handbook of graphical models 的学习项目。通过这个项目，从理论到实践掌握概率图模型。
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Copyright (C) 2018 Heyang Gong, USTC
perfect match 的详细讲解 pytorch, python3 版本.
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Perfect Match
Perfect Match
一个有关因果推断模拟的标准化项目.
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