Alternatives and similar repositories for network-deconfounder-wsdm20

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

• 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
• d909b / drnet
  💉📈 Dose response networks (DRNets) are a method for learning to estimate individual dose-response curves for multiple parametric treatm…
  ☆93Updated 2 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
• d909b / perfect_match
  ➕➕ Perfect Match is a simple method for learning representations for counterfactual inference with neural networks.
  ☆131Updated 2 years ago
• Osier-Yi / SITE
  ☆59Updated 3 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
• 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
• WeijiaZhang24 / TEDVAE
  Code for TEDVAE, a VAE-based treatment effect estimation algorithm.
  ☆25Updated 3 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
• jma712 / HyperSCI
  ☆45Updated last year
• ajboyd2 / vae_mpp
  Variational Autoencoders for Marked Point Processes
  ☆15Updated 5 years ago
• woshiyyya / ERPP-RMTPP
  A pytorch implementation of ERPP and RMTPP on ATM maintenance dataset.
  ☆55Updated 6 years ago
• jsyoon0823 / GANITE
  Codebase for GANITE: Estimation of Individualized Treatment Effects using GANs - ICLR 2018
  ☆66Updated 5 years ago
• octeufer / Adversarial-Balancing-based-representation-learning-for-Causal-Effect-Inference
  Causal Inference
  ☆11Updated 5 years ago
• rik-helwegen / CEVAE_pytorch
  ☆45Updated 6 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
• oddrose / cfrnet
  Counterfactual Regression
  ☆25Updated 9 years ago
• xiao03 / nh
  A PyTorch Implementation of Neural Hawkes Process. Redefined.
  ☆35Updated 5 years ago
• sjblim / rmsn_nips_2018
  ☆40Updated 7 years ago
• yule-BUAA / DNNTSP
  codes of DNNTSP model for Temporal Sets Prediction
  ☆32Updated 5 years ago
• guyulongcs / AAAI2021_ANPP
  Attentive Neural Point Processes for Event Forecasting, AAAI 2021
  ☆19Updated 4 years ago
• hongyuanmei / neural-hawkes-particle-smoothing
  Source code of the neural Hawkes particle smoothing (ICML 2019)
  ☆44Updated 6 years ago
• Matrix-Factorization-Bandit / IMFB-KDD2019
  Code for the experiments of Matrix Factorization Bandit
  ☆24Updated 6 years ago
• AIflowerQ / InvPref_KDD_2022
  KDD 2022 Invariant Preference Learning for General Debiasing in Recommendation
  ☆22Updated 3 years ago
• QiangAIResearcher / sahp_repo
  ☆62Updated 5 years ago
• seedatnabeel / TE-CDE
  Continuous-Time Modeling of Counterfactual Outcomes Using Neural Controlled Differential Equations (ICML 2022)
  ☆26Updated 3 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
• nikhil-dce / SBM-meet-GNN
  Implementation of SBM-meet-GNN
  ☆23Updated 6 years ago
• zhushy / causal-datasets
  Datasets for Causal-Structure-Learning Repo
  ☆15Updated 5 years ago