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.
☆76Updated last year
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☆428Updated last month
- CausalMatch is a Bytedance research project aimed at integrating cutting-edge machine learning and econometrics methods to bring about au…☆86Updated 3 weeks 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】☆143Updated 2 years ago
- 因果推理&AB实验相关论文小书库☆238Updated 2 years ago
- It is a high-performance causal inference (statistical model) computing library based on OLAP, which solves the performance bottleneck of…☆166Updated 2 weeks ago
- ☆141Updated 2 weeks ago
- [ICLR 2021] Code for: Varying Coefficient Neural Network with Functional Targeted Regularization for Estimating Continuous Treatment Effe…☆85Updated 2 years ago
- Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.☆16Updated 6 years ago
- ☆10Updated 2 years ago
- Implementation of paper DESCN, which is accepted in SIGKDD 2022.☆96Updated last year
- pytorch implementation of dragonnet☆44Updated 2 years ago
- ☆34Updated 3 years ago
- Source code of AAAI'22 paper: A Hybrid Causal Structure Learning Algorithm for Mixed-type Data☆39Updated 3 years ago
- ☆26Updated this week
- ☆40Updated 4 years ago
- 把因果思维融入机器学习中☆81Updated 5 years ago
- ☆106Updated 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…☆170Updated 2 weeks ago
- ☆276Updated 3 years ago
- UniRec is an easy-to-use, lightweight, and scalable implementation of recommender systems. Its primary objective is to enable users to sw…☆55Updated last year
- A causal tree method (Causal Tree Learn (CTL)) for heterogeneous treatment effects in Python☆64Updated last year
- FOST is a general forecasting tool, which demonstrate our experience and advanced technology in practical forecasting domains, including …☆262Updated 2 years ago
- Rankability-enhanced Revenue Uplift Modeling Framework for Online Marketing (KDD 2024)☆28Updated last year
- ☆21Updated 3 years ago
- ☆58Updated 3 years ago
- An Interactive Causal Analysis Tool☆18Updated 2 years ago
- We organize papers related to causal that published on top conferences recently. (因果领域论文分类汇总)☆90Updated 2 years ago
- An easy-to-use framework for large scale recommendation algorithms.☆207Updated this week
- 💉📈 Dose response networks (DRNets) are a method for learning to estimate individual dose-response curves for multiple parametric treatm…☆90Updated 2 years ago
- EconML/CausalML KDD 2021 Tutorial☆162Updated 2 years ago