Alternatives and similar repositories for OpenASCE

Users that are interested in OpenASCE are comparing it to the libraries listed below

• DataCanvasIO / YLearn
  YLearn, a pun of "learn why", is a python package for causal inference
  ☆420Updated 3 weeks ago
• bytedance / CausalMatch
  CausalMatch is a Bytedance research project aimed at integrating cutting-edge machine learning and econometrics methods to bring about au…
  ☆80Updated 2 months ago
• JackHCC / Awesome-Uplift-Model
  🛠 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】
  ☆133Updated 2 years ago
• Tencent / fast-causal-inference
  It is a high-performance causal inference (statistical model) computing library based on OLAP, which solves the performance bottleneck of…
  ☆154Updated 5 months ago
• kailiang-zhong / DESCN
  Implementation of paper DESCN, which is accepted in SIGKDD 2022.
  ☆86Updated last year
• DSXiangLi / Paper_CausalInference_abtest
  因果推理&AB实验相关论文小书库
  ☆232Updated 2 years ago
• GoudetOlivier / CausalDiscoveryToolbox
  Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.
  ☆15Updated 5 years ago
• BokwaiHo / revenue_uplift
  Rankability-enhanced Revenue Uplift Modeling Framework for Online Marketing (KDD 2024)
  ☆25Updated last year
• Serena-TT / 36-methods-for-data-analysis
  ☆40Updated 3 years ago
• DataCanvasIO / CausalLab
  An Interactive Causal Analysis Tool
  ☆17Updated last year
• alipay / fin_domain_llm
  Implementation of the paper: WeaverBird: Empowering Financial Decision-Making with Large Language Model, Knowledge Base, and Search Engin…
  ☆85Updated last year
• www2022paper / WWW-2022-PAPER-SUPPLEMENTARY-MATERIALS
  ☆34Updated 3 years ago
• Causal-Inference-ZeroToAll / causality4ml
  把因果思维融入机器学习中
  ☆79Updated 5 years ago
• rguo12 / network-deconfounder-wsdm20
  Code for the WSDM '20 paper, Learning Individual Causal Effects from Networked Observational Data.
  ☆75Updated 3 years ago
• hedongyan / awesome-causality-identification
  ☆19Updated this week
• Renovamen / pcalg-py
  Implement PC algorithm in Python | PC 算法的 Python 实现
  ☆118Updated last year
• xuanjixiao / onerec
  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…
  ☆130Updated this week
• NetManAIOps / PSqueeze
  ☆38Updated last year
• wan19990901 / Causal-LLM-Paper
  Papers collections that is related to knowledge graph, causal inference, and large language model
  ☆53Updated 9 months ago
• nuster1128 / Awesome-Causal-Papers
  We organize papers related to causal that published on top conferences recently. (因果领域论文分类汇总)
  ☆83Updated 2 years ago
• pltrees / abcboost
  ☆106Updated last year
• liangoy / WAIC2022Causal
  ☆10Updated 2 years ago
• chongminggao / KuaiRec
  KwaiRec: A Fully-observed Dataset for Recommender Systems.
  ☆154Updated 5 months ago
• songjiang0909 / Causal-Inference-on-Networked-Data
  Code for paper "Estimating Causal Effects on Networked Observational Data via Representation Learning"
  ☆17Updated 2 years ago
• alwaysmodest / A-Survey-of-Deep-Causal-Models-and-Their-Industrial-Applications
  ☆28Updated last month
• microsoft / FOST
  FOST is a general forecasting tool, which demonstrate our experience and advanced technology in practical forecasting domains, including …
  ☆260Updated 2 years ago
• hebowei2000 / revenue_uplift
  Rankability Enhanced Revenue Uplift Modeling Framework for Online Marketing (KDD 2024)
  ☆14Updated last year
• fooSynaptic / py_pcalg
  Build a python version causal inference model for Pcalg
  ☆19Updated 5 years ago
• microsoft / ProbTS
  ProbTS is a benchmarking toolkit for time series forecasting.
  ☆170Updated 2 weeks ago
• causal-machine-learning / kdd2021-tutorial
  EconML/CausalML KDD 2021 Tutorial
  ☆161Updated last year