Open-All-Scale-Causal-Engine / OpenASCELinks
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.
☆82Updated 2 years ago
Alternatives and similar repositories for OpenASCE
Users that are interested in OpenASCE are comparing it to the libraries listed below
Sorting:
- YLearn, a pun of "learn why", is a python package for causal inference☆431Updated 7 months 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】☆150Updated 2 years ago
- CausalMatch is a Bytedance research project aimed at integrating cutting-edge machine learning and econometrics methods to bring about au…☆101Updated 2 months ago
- FOST is a general forecasting tool, which demonstrate our experience and advanced technology in practical forecasting domains, including …☆263Updated 2 years ago
- ☆164Updated 5 months ago
- 因果推理&AB实验相关论文小书库☆249Updated 2 years ago
- ☆42Updated 4 years ago
- Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.☆18Updated 6 years ago
- Implementation of paper DESCN, which is accepted in SIGKDD 2022.☆106Updated 2 years ago
- ☆107Updated 2 years ago
- ☆10Updated 2 years ago
- ☆34Updated 4 years ago
- UniRec is an easy-to-use, lightweight, and scalable implementation of recommender systems. Its primary objective is to enable users to sw…☆60Updated last year
- [ICLR 2021] Code for: Varying Coefficient Neural Network with Functional Targeted Regularization for Estimating Continuous Treatment Effe…☆93Updated 3 years ago
- An easy-to-use framework for large scale recommendation algorithms.☆336Updated this week
- Source code of AAAI'22 paper: A Hybrid Causal Structure Learning Algorithm for Mixed-type Data☆40Updated 3 years ago
- KwaiRec: A Fully-observed Dataset for Recommender Systems.☆189Updated last month
- 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…☆224Updated 3 weeks ago
- Implement PC algorithm in Python | PC 算法的 Python 实现☆119Updated 2 years ago
- 把因果思维融入机器学习中☆81Updated 6 years ago
- EconML/CausalML KDD 2021 Tutorial☆167Updated 2 years ago
- 【TOIS2023】perCLTV: A General System for Personalized Customer Lifetime Value Prediction in Online Games☆11Updated 2 years ago
- pytorch implementation of dragonnet☆47Updated 3 years ago
- ☆289Updated 3 years ago
- code for "Addressing Exposure Bias in Uplift Modeling forLarge-scale Online Advertising"☆37Updated 3 years ago
- ☆36Updated 4 months ago
- An Interactive Causal Analysis Tool☆19Updated 2 years ago
- Implementation of the paper: WeaverBird: Empowering Financial Decision-Making with Large Language Model, Knowledge Base, and Search Engin…☆87Updated last year
- Rankability-enhanced Revenue Uplift Modeling Framework for Online Marketing (KDD 2024)☆29Updated last year
- ☆23Updated 3 months ago