Alternatives and similar repositories for notears

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

• FenTechSolutions / CausalDiscoveryToolbox
  Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.
  ☆1,198Updated last year
• bd2kccd / py-causal
  ☆205Updated 2 years ago
• rguo12 / awesome-causality-data
  A data index for learning causality.
  ☆478Updated last year
• AMLab-Amsterdam / CEVAE
  Causal Effect Inference with Deep Latent-Variable Models
  ☆348Updated 5 years ago
• kevinsbello / dagma
  A Python 3 package for learning Bayesian Networks (DAGs) from data. Official implementation of the paper "DAGMA: Learning DAGs via M-matr…
  ☆126Updated last year
• huawei-noah / trustworthyAI
  Trustworthy AI related projects
  ☆1,070Updated 2 months ago
• juangamella / ges
  Python implementation of the GES algorithm for causal discovery, from the 2002 paper "Optimal Structure Identification With Greedy Search…
  ☆61Updated 7 months ago
• py-why / causal-learn
  Causal Discovery in Python. It also includes (conditional) independence tests and score functions.
  ☆1,466Updated 3 months ago
• clinicalml / cfrnet
  Counterfactual Regression
  ☆313Updated 2 years ago
• jmoss20 / notears
  Implementation of "DAGs with NO TEARS: Smooth Optimization for Structure Learning", by Zheng et al. (2018)
  ☆49Updated 6 years ago
• fishmoon1234 / DAG-GNN
  ☆315Updated 3 years ago
• cdt15 / lingam
  Python package for causal discovery based on LiNGAM.
  ☆448Updated last month
• keiichishima / pcalg
  CPDAG Estimation using PC-Algorithm
  ☆95Updated 3 years ago
• loeweX / AmortizedCausalDiscovery
  Code for the paper: Amortized Causal Discovery: Learning to Infer Causal Graphs from Time-Series Data
  ☆217Updated 3 years ago
• jvpoulos / causal-ml
  Must-read papers and resources related to causal inference and machine (deep) learning
  ☆737Updated 2 years ago
• kurowasan / GraN-DAG
  ☆96Updated 2 years ago
• cmu-phil / tetrad
  Repository for the Tetrad Project, www.phil.cmu.edu/tetrad.
  ☆429Updated last week
• claudiashi57 / dragonnet
  ☆281Updated 3 years ago
• cmu-phil / py-tetrad
  Makes algorithms/code in Tetrad available in Python via JPype
  ☆84Updated 2 weeks ago
• AliciaCurth / CATENets
  Sklearn-style implementations of Neural Network-based Conditional Average Treatment Effect (CATE) Estimators.
  ☆147Updated last year
• cmu-phil / example-causal-datasets
  Example causal datasets with consistent formatting and ground truth
  ☆92Updated 5 months ago
• IntelLabs / causality-lab
  Causal discovery algorithms and tools for implementing new ones
  ☆229Updated 3 months ago
• ignavierng / golem
  On the Role of Sparsity and DAG Constraints for Learning Linear DAGs
  ☆33Updated 4 years ago
• juangamella / sempler
  Framework to generate observational and interventional samples from structural equation models (SEMs)
  ☆19Updated 5 months ago
• microsoft / causica
  ☆502Updated 9 months ago
• slachapelle / dcdi
  Repository for "Differentiable Causal Discovery from Interventional Data"
  ☆76Updated 3 years ago
• M-Nauta / TCDF
  Temporal Causal Discovery Framework (PyTorch): discovering causal relationships between time series
  ☆521Updated 4 years ago
• d909b / perfect_match
  ➕➕ Perfect Match is a simple method for learning representations for counterfactual inference with neural networks.
  ☆130Updated 2 years ago
• Biwei-Huang / Causal-Discovery-from-Nonstationary-Heterogeneous-Data
  Causal Discovery from Nonstationary/Heterogeneous Data.
  ☆53Updated 5 years ago
• bradyneal / realcause
  Realistic benchmark for different causal inference methods. The realism comes from fitting generative models to data with an assumed caus…
  ☆79Updated 4 years ago