Alternatives and similar repositories for what-if

Users that are interested in what-if are comparing it to the libraries listed below

• Causal-Inference-ZeroToAll / causality4ml
  把因果思维融入机器学习中
  ☆81Updated 5 years ago
• Serena-TT / 36-methods-for-data-analysis
  ☆40Updated 4 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】
  ☆144Updated 2 years ago
• causal-machine-learning / kdd2021-tutorial
  EconML/CausalML KDD 2021 Tutorial
  ☆162Updated 2 years ago
• yishilin14 / causal_playground
  ☆17Updated 6 years ago
• DSXiangLi / Paper_CausalInference_abtest
  因果推理&AB实验相关论文小书库
  ☆238Updated 2 years ago
• L-F-Z / CEE
  Causal Effect Engine is a Golang package for causal inference
  ☆18Updated 3 years ago
• d909b / drnet
  💉📈 Dose response networks (DRNets) are a method for learning to estimate individual dose-response curves for multiple parametric treatm…
  ☆90Updated 2 years ago
• rguo12 / network-deconfounder-wsdm20
  Code for the WSDM '20 paper, Learning Individual Causal Effects from Networked Observational Data.
  ☆75Updated 4 years ago
• chengjun / thresholdbook
  《跨越网络的门槛》
  ☆24Updated 3 years ago
• ZSCDumin / causal-inference-books
  因果推断相关论文、书籍
  ☆53Updated 4 years ago
• lushleaf / varying-coefficient-net-with-functional-tr
  [ICLR 2021] Code for: Varying Coefficient Neural Network with Functional Targeted Regularization for Estimating Continuous Treatment Effe…
  ☆85Updated 2 years ago
• farazmah / dragonnet-pytorch
  pytorch implementation of dragonnet
  ☆44Updated 2 years ago
• Ibotta / mr_uplift
  Multiple Response Uplift (or heterogeneous treatment effects) package that builds and evaluates tradeoffs with multiple treatments and mu…
  ☆69Updated 4 months ago
• callmespring / CausalRL
  Implementation of "Dynamic Causal Effects Evaluation in A/B Testing with a Reinforcement Learning Framework" (JASA 2023)
  ☆32Updated last year
• Causal-Inference-ZeroToAll / dowhy_zh
  DoWhy是用于因果推断的Python库，它支持对因果假设进行显式建模和验证。DoWhy基于用于因果推理的统一语言，结合了因果图模型和潜结果框架。
  ☆13Updated 5 years ago
• Chrisejorge / Causal-Inference
  Materials Collection for Causal Inference
  ☆47Updated 2 years ago
• Silk-Road / Social-and-Economic-Networks-Models-and-Analysis
  Coursera斯坦福大学《Social and Economic Networks: Models and Analysis》课程笔记
  ☆33Updated 6 years ago
• kwaiDA / KwaiSurvival
  ☆72Updated 4 years ago
• LemenChao / Introduction-to-Data-Science
  本Repository为中国人民大学朝乐门老师开源课程——《数据科学导论》，对应教材为《数据科学理论与实践》
  ☆107Updated 5 years ago
• Howardhuang98 / BNSL
  Bayesian network structure learning
  ☆18Updated 3 years ago
• edgeslab / CTL
  A causal tree method (Causal Tree Learn (CTL)) for heterogeneous treatment effects in Python
  ☆64Updated last year
• slds-lmu / iml_methods_limitations
  Seminar on Limitations of Interpretable Machine Learning Methods
  ☆57Updated 4 years ago
• socrateslab / zh
  计算传播学实验中心（中文网站)
  ☆27Updated 2 months ago
• CausalDM / Causal-Decision-Making
  ☆35Updated 2 months ago
• rlirey / psmatching
  Propensity score matching in Python 3
  ☆26Updated 2 years ago
• imirzadeh / awesome-causal-inference
  A (concise) curated list of awesome Causal Inference resources.
  ☆241Updated 2 years ago
• oddrose / cfrnet
  Counterfactual Regression
  ☆25Updated 9 years ago
• kochbj / Deep-Learning-for-Causal-Inference
  Extensive tutorials for learning how to build deep learning models for causal inference (HTE) using selection on observables in Tensorflo…
  ☆335Updated 10 months ago
• matthewvowels1 / Awesome-Causal-Inference
  A curated list of awesome work on causal inference, particularly in machine learning.
  ☆107Updated 4 years ago