Alternatives and similar repositories for SELF:

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

• DMIRLAB-Group / CANM
  This code provide the CANM algorithim for causal discovery. Please cite "Ruichu Cai, Jie Qiao, Kun Zhang, Zhenjie Zhang, Zhifeng Hao. Cau…
  ☆16Updated 5 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
• rguo12 / network-deconfounder-wsdm20
  Code for the WSDM '20 paper, Learning Individual Causal Effects from Networked Observational Data.
  ☆74Updated 3 years ago
• d909b / drnet
  💉📈 Dose response networks (DRNets) are a method for learning to estimate individual dose-response curves for multiple parametric treatm…
  ☆87Updated last year
• Osier-Yi / SITE
  ☆58Updated 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…
  ☆20Updated 3 years ago
• L-F-Z / CEE
  Causal Effect Engine is a Golang package for causal inference
  ☆18Updated 3 years ago
• Biwei-Huang / Generalized-Score-Functions-for-Causal-Discovery
  A generalized score-based method for Causal Discovery
  ☆16Updated 4 years ago
• bd2kccd / py-causal
  ☆204Updated last year
• jsyoon0823 / GANITE
  Codebase for GANITE: Estimation of Individualized Treatment Effects using GANs - ICLR 2018
  ☆58Updated 4 years ago
• kuiy / CausalFS
  An open-source package of causal feature selection and causal (Bayesian network) structure learning (C/C++ version)
  ☆59Updated 4 years ago
• d909b / perfect_match
  ➕➕ Perfect Match is a simple method for learning representations for counterfactual inference with neural networks.
  ☆126Updated last year
• Causal-Inference-ZeroToAll / causality4ml
  把因果思维融入机器学习中
  ☆79Updated 5 years ago
• jhartford / DeepIV
  Implementation of Deep IV: A Flexible Approach for Counterfactual Prediction
  ☆156Updated 3 years ago
• hlzhang109 / TransTEE
  ☆32Updated 2 years ago
• AliciaCurth / CATENets
  Sklearn-style implementations of Neural Network-based Conditional Average Treatment Effect (CATE) Estimators.
  ☆136Updated 8 months ago
• keiichishima / pcalg
  CPDAG Estimation using PC-Algorithm
  ☆95Updated 2 years ago
• jmoss20 / notears
  Implementation of "DAGs with NO TEARS: Smooth Optimization for Structure Learning", by Zheng et al. (2018)
  ☆50Updated 5 years ago
• vveitch / causal-network-embeddings
  Software and pre-processed data for "Using Embeddings to Correct for Unobserved Confounding in Networks"
  ☆56Updated 2 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…
  ☆72Updated 2 years ago
• ignavierng / local-astar
  Reliable Causal Discovery with Improved Exact Search and Weaker Assumptions
  ☆11Updated 3 years ago
• diviyank / SAM
  Code for the Structural Agnostic Model (https://arxiv.org/abs/1803.04929)
  ☆52Updated 4 years ago
• kurowasan / GraN-DAG
  ☆92Updated 2 years ago
• ignavierng / golem
  On the Role of Sparsity and DAG Constraints for Learning Linear DAGs
  ☆33Updated 3 years ago
• sjblim / rmsn_nips_2018
  ☆37Updated 6 years ago
• ignavierng / notears-tensorflow
  Reimplementation of NOTEARS in Tensorflow
  ☆34Updated last year
• causal-machine-learning-lab / mliv
  ☆27Updated 2 years ago
• xiangyu-sun-789 / NTS-NOTEARS
  Code for paper: NTS-NOTEARS: Learning Nonparametric DBNs With Prior Knowledge
  ☆23Updated 2 years ago
• Biwei-Huang / Causal-Discovery-from-Nonstationary-Heterogeneous-Data
  Causal Discovery from Nonstationary/Heterogeneous Data.
  ☆52Updated 4 years ago
• cmu-phil / example-causal-datasets
  Example causal datasets with consistent formatting and ground truth
  ☆79Updated last year