Alternatives and similar repositories for WAIC2022Causal

Users that are interested in WAIC2022Causal are comparing it to the libraries listed below

• Serena-TT / 36-methods-for-data-analysis
  ☆40Updated 3 years ago
• kailiang-zhong / DESCN
  Implementation of paper DESCN, which is accepted in SIGKDD 2022.
  ☆86Updated last year
• 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
• hebowei2000 / revenue_uplift
  Rankability Enhanced Revenue Uplift Modeling Framework for Online Marketing (KDD 2024)
  ☆14Updated last year
• antmachineintelligence / mtgbmcode
  mtgbmcode
  ☆172Updated 2 years ago
• DataCanvasIO / WAIC-2022-Hackathon-Causal-Learning-and-Decision-Optimization-Challenge
  WAIC 2022 Hackathon Causal Learning and Decision Optimization Challenge
  ☆6Updated 2 years ago
• anpwu / DeR-CFR
  ☆19Updated 3 years 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
• www2022paper / WWW-2022-PAPER-SUPPLEMENTARY-MATERIALS
  ☆34Updated 3 years ago
• fooSynaptic / py_pcalg
  Build a python version causal inference model for Pcalg
  ☆19Updated 5 years ago
• aifor / eeuen
  code for "Addressing Exposure Bias in Uplift Modeling forLarge-scale Online Advertising"
  ☆33Updated 3 years ago
• dgliu / KDD23_EFIN
  Experiments codes for SIGKDD '23 paper "Explicit Feature Interaction-aware Uplift Network for Online Marketing"
  ☆67Updated 10 months ago
• BokwaiHo / revenue_uplift
  Rankability-enhanced Revenue Uplift Modeling Framework for Online Marketing (KDD 2024)
  ☆25Updated last year
• lushleaf / varying-coefficient-net-with-functional-tr
  [ICLR 2021] Code for: Varying Coefficient Neural Network with Functional Targeted Regularization for Estimating Continuous Treatment Effe…
  ☆77Updated 2 years ago
• 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, cau…
  ☆74Updated last year
• claudiashi57 / dragonnet
  ☆268Updated 3 years ago
• L-F-Z / CEE
  Causal Effect Engine is a Golang package for causal inference
  ☆18Updated 3 years ago
• Causal-Inference-ZeroToAll / causality4ml
  把因果思维融入机器学习中
  ☆79Updated 5 years ago
• Renovamen / pcalg-py
  Implement PC algorithm in Python | PC 算法的 Python 实现
  ☆118Updated last year
• DataCanvasIO / YLearn
  YLearn, a pun of "learn why", is a python package for causal inference
  ☆420Updated 3 weeks ago
• oddrose / cfrnet
  Counterfactual Regression
  ☆23Updated 8 years ago
• Ibotta / mr_uplift
  Multiple Response Uplift (or heterogeneous treatment effects) package that builds and evaluates tradeoffs with multiple treatments and mu…
  ☆69Updated last month
• EdisonLeeeee / ICDM2022_competition_3rd_place_solution
  3rd place solution of ICDM 2022 Risk Commodities Detection on Large-Scale E-Commence Graphs
  ☆37Updated 2 years ago
• jiangnanboy / learning_to_rank
  利用lightgbm做(learning to rank)排序学习，包括数据处理、模型训练、模型决策可视化、模型可解释性以及预测等。Use LightGBM to learn ranking, including data processing, model trainin…
  ☆266Updated 2 years ago
• busesese / ESMM
  esmm model by tensorflow keras
  ☆68Updated 3 years ago
• farazmah / dragonnet-pytorch
  pytorch implementation of dragonnet
  ☆42Updated 2 years ago
• dreamhomes / PCIC-2021-Track1
  PCIC 2021 Track1: Causal Discovery
  ☆25Updated 3 years ago
• deymm / encoder2predict
  利用Encoder对二分类任务的序列数据进行概率预测
  ☆51Updated 4 years ago
• rguo12 / network-deconfounder-wsdm20
  Code for the WSDM '20 paper, Learning Individual Causal Effects from Networked Observational Data.
  ☆75Updated 3 years ago
• SpongebBob / tabular_automl_NNI
  PAKDD AutoML challenge 2nd Feature Engineering Part
  ☆70Updated 4 years ago