Alternatives and similar repositories for network-deconfounder-wsdm20

Users that are interested in network-deconfounder-wsdm20 are comparing it to the libraries listed below

• d909b / drnet
  💉📈 Dose response networks (DRNets) are a method for learning to estimate individual dose-response curves for multiple parametric treatm…
  ☆92Updated 2 years ago
• paras2612 / CauseBox
  Causal inference is a critical task in various fields such as healthcare,economics, marketing and education. Recently, there have beensig…
  ☆21Updated 4 years ago
• ioanabica / Time-Series-Deconfounder
  Code for ICML 2020 paper: "Time Series Deconfounder: Estimating Treatment Effects over Time in the Presence of Hidden Confounders" by I. …
  ☆52Updated 4 years ago
• jma712 / HyperSCI
  ☆45Updated last year
• WeijiaZhang24 / TEDVAE
  Code for TEDVAE, a VAE-based treatment effect estimation algorithm.
  ☆25Updated 3 years ago
• Osier-Yi / SITE
  ☆59Updated 3 years ago
• rik-helwegen / CEVAE_pytorch
  ☆45Updated 6 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
  ☆84Updated 7 years ago
• vveitch / causal-network-embeddings
  Software and pre-processed data for "Using Embeddings to Correct for Unobserved Confounding in Networks"
  ☆57Updated 2 years ago
• ajboyd2 / vae_mpp
  Variational Autoencoders for Marked Point Processes
  ☆15Updated 5 years ago
• d909b / perfect_match
  ➕➕ Perfect Match is a simple method for learning representations for counterfactual inference with neural networks.
  ☆131Updated 2 years ago
• ioanabica / SCIGAN
  Code for NeurIPS 2020 paper: "Estimating the Effects of Continuous-valued Interventions using Generative Adversarial Networks" by I. Bica…
  ☆30Updated 4 years ago
• fishmoon1234 / DAG-GNN
  ☆316Updated 3 years ago
• sjblim / rmsn_nips_2018
  ☆40Updated 6 years ago
• jsyoon0823 / GANITE
  Codebase for GANITE: Estimation of Individualized Treatment Effects using GANs - ICLR 2018
  ☆65Updated 5 years ago
• songjiang0909 / Causal-Inference-on-Networked-Data
  Code for paper "Estimating Causal Effects on Networked Observational Data via Representation Learning"
  ☆20Updated 2 years ago
• JeanKaddour / SIN
  Causal Effect Inference for Structured Treatments (SIN) (NeurIPS 2021)
  ☆43Updated 3 years ago
• guyulongcs / AAAI2021_ANPP
  Attentive Neural Point Processes for Event Forecasting, AAAI 2021
  ☆19Updated 4 years ago
• oddrose / cfrnet
  Counterfactual Regression
  ☆25Updated 9 years ago
• kurowasan / GraN-DAG
  ☆97Updated 2 years ago
• octeufer / Adversarial-Balancing-based-representation-learning-for-Causal-Effect-Inference
  Causal Inference
  ☆11Updated 5 years ago
• woshiyyya / ERPP-RMTPP
  A pytorch implementation of ERPP and RMTPP on ATM maintenance dataset.
  ☆55Updated 6 years ago
• matthewvowels1 / Awesome-Causal-Inference
  A curated list of awesome work on causal inference, particularly in machine learning.
  ☆112Updated 4 years ago
• nikhil-dce / SBM-meet-GNN
  Implementation of SBM-meet-GNN
  ☆23Updated 6 years ago
• joeybose / Flexible-Fairness-Constraints
  Code for ICML2019 Paper "Compositional Invariance Constraints for Graph Embeddings"
  ☆50Updated 5 years ago
• urielsinger / CTDNE
  Implementation of the CTDNE algorithm.
  ☆20Updated 7 years ago
• TimeLovercc / Awesome-Graph-Causal-Learning
  A list of Graph Causal Learning materials.
  ☆205Updated 10 months ago
• AliciaCurth / CATENets
  Sklearn-style implementations of Neural Network-based Conditional Average Treatment Effect (CATE) Estimators.
  ☆151Updated last year
• QiangAIResearcher / sahp_repo
  ☆62Updated 5 years ago
• kuiy / CausalFS
  An open-source package of causal feature selection and causal (Bayesian network) structure learning (C/C++ version)
  ☆64Updated 5 years ago