Alternatives and similar repositories for arXausality

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

• AMLab-Amsterdam / CEVAE
  Causal Effect Inference with Deep Latent-Variable Models
  ☆348Updated 5 years ago
• blei-lab / deconfounder_tutorial
  ☆87Updated 5 years ago
• jhartford / DeepIV
  Implementation of Deep IV: A Flexible Approach for Counterfactual Prediction
  ☆158Updated 4 years ago
• bd2kccd / py-causal
  ☆205Updated 2 years ago
• rguo12 / awesome-causality-data
  A data index for learning causality.
  ☆477Updated last year
• napsternxg / awesome-causality
  Resources related to causality
  ☆267Updated last year
• amit-sharma / causal-inference-tutorial
  Repository with code and slides for a tutorial on causal inference.
  ☆579Updated 6 years ago
• altdeep / causalML
  The open source repository for the Causal Modeling in Machine Learning Workshop at Altdeep.ai @ www.altdeep.ai/courses/causalML
  ☆783Updated 3 months ago
• maxwshen / iap-cidl
  Causal Inference & Deep Learning, MIT IAP 2018
  ☆89Updated 7 years ago
• arranger1044 / awesome-spn
  A structured list of resources about Sum-Product Networks (SPNs)
  ☆255Updated 4 years ago
• socialfoundations / whynot
  A Python sandbox for decision making in dynamics
  ☆422Updated 2 years ago
• HongtengXu / PoPPy
  A Point Process Toolbox Based on PyTorch
  ☆133Updated 5 years ago
• ijmbarr / notes-on-causal-inference
  Some notes on Causal Inference, with examples in python
  ☆154Updated 5 years ago
• xunzheng / notears
  DAGs with NO TEARS: Continuous Optimization for Structure Learning
  ☆647Updated last year
• ssydasheng / Bayesian_neural_network_papers
  Papers for Bayesian-NN
  ☆325Updated 6 years ago
• DataForScience / Causality
  ☆470Updated last year
• ctallec / pyvarinf
  Python package facilitating the use of Bayesian Deep Learning methods with Variational Inference for PyTorch
  ☆361Updated 5 years ago
• OATML / bdl-benchmarks
  Bayesian Deep Learning Benchmarks
  ☆672Updated 2 years ago
• imirzadeh / awesome-causal-inference
  A (concise) curated list of awesome Causal Inference resources.
  ☆243Updated 3 years ago
• ijmbarr / causalgraphicalmodels
  Causal Graphical Models in Python
  ☆248Updated 2 years ago
• mlss-2019 / tutorials
  ☆275Updated 5 years ago
• clinicalml / dmm
  Deep Markov Models
  ☆133Updated 6 years ago
• d909b / perfect_match
  ➕➕ Perfect Match is a simple method for learning representations for counterfactual inference with neural networks.
  ☆130Updated 2 years ago
• wiseodd / probabilistic-models
  Collection of probabilistic models and inference algorithms
  ☆241Updated 5 years ago
• mkocaoglu / CausalGAN
  ☆144Updated 8 years ago
• GoudetOlivier / CGNN
  Replication code for the article "Learning Functional Causal Models with Generative Neural Networks"
  ☆100Updated 6 years ago
• otokonoko8 / deep-Bayesian-nonparametrics-papers
  The collection of papers about combining deep learning and Bayesian nonparametrics
  ☆121Updated 5 years ago
• RobRomijnders / weight_uncertainty
  Implementing Bayes by Backprop
  ☆184Updated 6 years ago
• diviyank / SAM
  Code for the Structural Agnostic Model (https://arxiv.org/abs/1803.04929)
  ☆53Updated 4 years ago
• jvpoulos / causal-ml
  Must-read papers and resources related to causal inference and machine (deep) learning
  ☆737Updated 2 years ago