Alternatives and similar repositories for deep_learning_based_causal_inference_for_combinatorial_experiments:

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

• toonvds / CostSensitiveLearning
  Code for the paper "Predict-then-optimize or predict-and-optimize? An empirical evaluation of cost-sensitive learning strategies".
  ☆13Updated 11 months ago
• rguo12 / network-deconfounder-wsdm20
  Code for the WSDM '20 paper, Learning Individual Causal Effects from Networked Observational Data.
  ☆75Updated 3 years ago
• hanshengjiang / Reference_Effects
  Software package for intertemporal pricing optimization under reference effects and consumer heterogeneity estimation. Please see REAMDE.…
  ☆10Updated 10 months ago
• huiyang-yi / Awesome-Causality-and-ML-Papers
  关于causal discovery, invariant learning, machine learning等方向的论文阅读笔记和slides总结
  ☆28Updated last month
• KColangelo / Double-ML-Continuous-Treatment
  Code for Colangelo and Lee (2022)
  ☆12Updated 7 months ago
• paras2612 / CauseBox
  Causal inference is a critical task in various fields such as healthcare,economics, marketing and education. Recently, there have beensig…
  ☆20Updated 3 years ago
• CausalAILab / NeuralCausalModels
  Neural Causal Model (NCM) implementation by the authors of The Causal Neural Connection.
  ☆24Updated 2 years ago
• matthewvowels1 / Awesome-Causal-Inference
  A curated list of awesome work on causal inference, particularly in machine learning.
  ☆98Updated 3 years ago
• jc1850 / Learning-Causal-Networks-in-Python
  4th Year project aiming to implement PC, FCI and RFCI algorithms in python
  ☆14Updated 5 years ago
• ankits0207 / Learning-representations-for-counterfactual-inference-MyImplementation
  Implementation of Johansson, Fredrik D., Shalit, Uri, and Sontag, David. Learning representations for counterfactual inference - ICML, 20…
  ☆12Updated 4 years ago
• kalinlau / awesome-causal-learning
  Causality with machine learning, topic including causal represenation learning, causal reinforcement learning
  ☆11Updated 3 years ago
• cmu-phil / example-causal-datasets
  Example causal datasets with consistent formatting and ground truth
  ☆76Updated last year
• songjiang0909 / Causal-Inference-on-Networked-Data
  Code for paper "Estimating Causal Effects on Networked Observational Data via Representation Learning"
  ☆15Updated last year
• callmespring / CausalRL
  Implementation of "Dynamic Causal Effects Evaluation in A/B Testing with a Reinforcement Learning Framework" (JASA 2023)
  ☆26Updated last year
• jmoss20 / notears
  Implementation of "DAGs with NO TEARS: Smooth Optimization for Structure Learning", by Zheng et al. (2018)
  ☆49Updated 5 years ago
• hlzhang109 / TransTEE
  ☆31Updated 2 years ago
• IBM-HRL-MLHLS / IBM-Causal-Inference-Benchmarking-Framework
  Data derived from the Linked Births and Deaths Data (LBIDD); simulated pairs of treatment assignment and outcomes; scoring code
  ☆81Updated 6 years ago
• Hongrui24 / NeuralHawkesPytorch
  ☆19Updated 4 years ago
• 10-Academy-quad-squad / casual-graph
  Breast cancer prediction using causal Inference
  ☆10Updated 3 years ago
• sjblim / rmsn_nips_2018
  ☆37Updated 6 years ago
• xiangyu-sun-789 / NTS-NOTEARS
  Code for paper: NTS-NOTEARS: Learning Nonparametric DBNs With Prior Knowledge
  ☆23Updated last year
• liuqidong07 / PC-Algorithm
  My implement of PC-Algorithm which is used to estimate causal graph from observation data.
  ☆23Updated 4 years ago
• majianthu / transferentropy
  Code for the paper "Estimating Transfer Entropy via Copula Entropy"
  ☆40Updated last year
• oddrose / cfrnet
  Counterfactual Regression
  ☆23Updated 8 years ago
• kuiy / pyCausalFS
  An open-source package of causal feature selection and causal (Bayesian network) structure learning (Python version)
  ☆20Updated 4 years ago
• goncalorafaria / causaldiscovery-latent-interventions
  Method based on neural networks and variational inference for causal discovery under latent interventions, i. e. learning a shared causal…
  ☆17Updated 2 years ago
• anthem-ai / bcauss
  Code for "Learning End-to-End Patient Representations through Self-Supervised Covariate Balancing for Causal Treatment Effect Estimation"
  ☆20Updated last year
• 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)
  ☆76Updated last year
• zhushy / causal-datasets
  Datasets for Causal-Structure-Learning Repo
  ☆15Updated 4 years ago
• chritoth / active-bayesian-causal-inference
  Active Bayesian Causal Inference (Neurips'22)
  ☆53Updated 6 months ago