Alternatives and similar repositories for arXausality:

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

• napsternxg / awesome-causality
  Resources related to causality
  ☆260Updated 11 months ago
• AMLab-Amsterdam / CEVAE
  Causal Effect Inference with Deep Latent-Variable Models
  ☆329Updated 4 years ago
• rguo12 / awesome-causality-data
  A data index for learning causality.
  ☆450Updated last year
• altdeep / causalML
  The open source repository for the Causal Modeling in Machine Learning Workshop at Altdeep.ai @ www.altdeep.ai/courses/causalML
  ☆743Updated 6 months ago
• bd2kccd / py-causal
  ☆204Updated last year
• jhartford / DeepIV
  Implementation of Deep IV: A Flexible Approach for Counterfactual Prediction
  ☆155Updated 3 years ago
• amit-sharma / causal-inference-tutorial
  Repository with code and slides for a tutorial on causal inference.
  ☆567Updated 5 years ago
• xunzheng / notears
  DAGs with NO TEARS: Continuous Optimization for Structure Learning
  ☆615Updated 8 months ago
• FenTechSolutions / CausalDiscoveryToolbox
  Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.
  ☆1,148Updated 9 months ago
• imirzadeh / awesome-causal-inference
  A (concise) curated list of awesome Causal Inference resources.
  ☆225Updated 2 years ago
• clinicalml / cfrnet
  Counterfactual Regression
  ☆298Updated 2 years ago
• jvpoulos / causal-ml
  Must-read papers and resources related to causal inference and machine (deep) learning
  ☆693Updated 2 years ago
• ijmbarr / notes-on-causal-inference
  Some notes on Causal Inference, with examples in python
  ☆149Updated 4 years ago
• blei-lab / deconfounder_tutorial
  ☆87Updated 4 years ago
• biomedia-mira / deepscm
  Repository for Deep Structural Causal Models for Tractable Counterfactual Inference
  ☆274Updated last year
• ctallec / pyvarinf
  Python package facilitating the use of Bayesian Deep Learning methods with Variational Inference for PyTorch
  ☆358Updated 5 years ago
• socialfoundations / whynot
  A Python sandbox for decision making in dynamics
  ☆420Updated last year
• d909b / perfect_match
  ➕➕ Perfect Match is a simple method for learning representations for counterfactual inference with neural networks.
  ☆125Updated last year
• ijmbarr / causalgraphicalmodels
  Causal Graphical Models in Python
  ☆241Updated last year
• loeweX / AmortizedCausalDiscovery
  Code for the paper: Amortized Causal Discovery: Learning to Infer Causal Graphs from Time-Series Data
  ☆206Updated 2 years ago
• maxwshen / iap-cidl
  Causal Inference & Deep Learning, MIT IAP 2018
  ☆85Updated 7 years ago
• claudiashi57 / dragonnet
  ☆253Updated 2 years ago
• mkocaoglu / CausalGAN
  ☆141Updated 7 years ago
• DataForScience / Causality
  ☆464Updated 7 months ago
• keiichishima / pcalg
  CPDAG Estimation using PC-Algorithm
  ☆94Updated 2 years ago
• authors-1901-10912 / A-Meta-Transfer-Objective-For-Learning-To-Disentangle-Causal-Mechanisms
  Code for "A Meta Transfer Objective For Learning To Disentangle Causal Mechanisms"
  ☆125Updated 5 years ago
• laurencium / Causalinference
  Causal Inference in Python
  ☆555Updated 4 years ago
• cmu-phil / tetrad
  Repository for the Tetrad Project, www.phil.cmu.edu/tetrad.
  ☆413Updated this week
• probtorch / probtorch
  Probabilistic Torch is library for deep generative models that extends PyTorch
  ☆886Updated 8 months ago
• microsoft / causica
  ☆459Updated last month