Open-All-Scale-Causal-Engine / OpenASCE
OpenASCE (Open All-Scale Casual Engine) is a Python package for end-to-end large-scale causal learning. It provides causal discovery, causal effect estimation and attribution algorithms all in one package.
☆73Updated last year
Alternatives and similar repositories for OpenASCE:
Users that are interested in OpenASCE are comparing it to the libraries listed below
- CausalMatch is a Bytedance research project aimed at integrating cutting-edge machine learning and econometrics methods to bring about au…☆63Updated 2 weeks ago
- YLearn, a pun of "learn why", is a python package for causal inference☆415Updated this week
- It is a high-performance causal inference (statistical model) computing library based on OLAP, which solves the performance bottleneck of…☆145Updated 3 months ago
- Ant Graph Learning (AGL) provides a comprehensive solution for graph learning tasks at an industrial scale.☆87Updated last year
- ☆106Updated last year
- 因果推理&AB实验相关论文小书库☆224Updated 2 years ago
- ☆33Updated 3 years ago
- 🛠 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】☆127Updated 2 years ago
- [ICLR 2021] Code for: Varying Coefficient Neural Network with Functional Targeted Regularization for Estimating Continuous Treatment Effe…☆75Updated 2 years ago
- ☆10Updated 2 years ago
- ☆19Updated 3 years ago
- ☆40Updated 3 years ago
- 把因果思维融入机器学习中☆79Updated 5 years ago
- Rankability-enhanced Revenue Uplift Modeling Framework for Online Marketing (KDD 2024)☆25Updated 10 months ago
- KwaiRec: A Fully-observed Dataset for Recommender Systems.☆145Updated 2 months ago
- Code for the WSDM '20 paper, Learning Individual Causal Effects from Networked Observational Data.☆74Updated 3 years ago
- An easy-to-use framework for large scale recommendation algorithms.☆122Updated this week
- Implementation of paper DESCN, which is accepted in SIGKDD 2022.☆78Updated last year
- Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.☆15Updated 5 years ago
- Build a python version causal inference model for Pcalg☆19Updated 5 years ago
- PCIC 2021 Track1: Causal Discovery☆25Updated 3 years ago
- We organize papers related to causal that published on top conferences recently. (因果领域论文分类汇总)☆81Updated 2 years ago
- Implement PC algorithm in Python | PC 算法的 Python 实现☆116Updated last year
- Learning Fraud Detection from research papers and industry applications.☆115Updated 3 months ago
- ☆36Updated last year
- 在常规推荐系统算法和系统双优化的范式下,一线公司针对单个任务或单个业务的效果挖掘几乎达到极限。从2019年我们开始关注多种信息的萃取融合,提出了OneRec算法,希望通过平台或外部各种各样的信息来进行知识集成,打破数据孤岛,极大扩充推荐的“Extra World Knowl…☆121Updated this week
- EasyTPP: Towards Open Benchmarking Temporal Point Processes☆288Updated last month
- Source code of AAAI'22 paper: A Hybrid Causal Structure Learning Algorithm for Mixed-type Data☆38Updated 2 years ago
- pytorch implementation of dragonnet☆38Updated 2 years ago
- The real-world Production Dataset from E-commerce platform Meituan☆22Updated 10 months ago