Alternatives and similar repositories for causal-chamber:

Users that are interested in causal-chamber are comparing it to the libraries listed below

• larslorch / stadion
  Causal Modeling with Stationary Diffusions, AISTATS 2024
  ☆18Updated 2 months ago
• larslorch / dibs
  DiBS: Differentiable Bayesian Structure Learning, NeurIPS 2021
  ☆48Updated last year
• bradyneal / realcause
  Realistic benchmark for different causal inference methods. The realism comes from fitting generative models to data with an assumed caus…
  ☆74Updated 4 years ago
• slachapelle / dcdi
  Repository for "Differentiable Causal Discovery from Interventional Data"
  ☆74Updated 3 years ago
• larslorch / avici
  Amortized Inference for Causal Structure Learning, NeurIPS 2022
  ☆62Updated 2 months ago
• phlippe / ENCO
  Official repository of the paper "Efficient Neural Causal Discovery without Acyclicity Constraints"
  ☆82Updated last year
• francescomontagna / causally
  Code for the causal benchmark library
  ☆12Updated last month
• felixleopoldo / benchpress
  Scalable open-source software to run, develop, and benchmark causal discovery algorithms
  ☆68Updated last week
• microsoft / csuite
  CSuite: A Suite of Benchmark Datasets for Causality
  ☆67Updated last year
• py-why / dodiscover
  [Experimental] Global causal discovery algorithms
  ☆100Updated 2 months ago
• BasisResearch / chirho
  An experimental language for causal reasoning
  ☆204Updated this week
• amzn / orthogonal-additive-gaussian-processes
  Light-weighted code for Orthogonal Additive Gaussian Processes
  ☆42Updated 9 months 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…
  ☆116Updated last year
• VirgiAgl / CausalBayesianOptimization
  Code for the Causal Bayesian Optimization algorithm (http://proceedings.mlr.press/v108/aglietti20a/aglietti20a.pdf)
  ☆29Updated 4 years ago
• psanch21 / causal-flows
  ☆52Updated 9 months ago
• caus-am / jci
  Code for the paper "Joint Causal Inference from Multiple Contexts" (JMLR 2020)
  ☆16Updated 4 years ago
• cmu-phil / example-causal-datasets
  Example causal datasets with consistent formatting and ground truth
  ☆82Updated 3 weeks ago
• csquires / causal-rep-learning-reading-group
  ☆22Updated last year
• boschresearch / causalAssembly
  ☆28Updated 11 months ago
• Lancelot39 / Causal-Copilot
  ☆48Updated 2 weeks ago
• juangamella / causal-chamber-paper
  Code to reproduce the case studies of the 2024 paper "The Causal Chambers: Real Physical Systems as a Testbed for AI Methodology" by Juan…
  ☆15Updated 4 months ago
• Scriddie / Varsortability
  Implementations of var-sortability, sortnregress, and chain-orientation as presented in the article "Beware of the Simulated DAG": https:…
  ☆15Updated last year
• CausalDisco / gadjid
  Adjustment Identification Distance: A gadjid for Causal Structure Learning
  ☆9Updated 2 months ago
• runame / laplace-redux
  Laplace Redux -- Effortless Bayesian Deep Learning
  ☆43Updated 2 years ago
• jjcherian / conditional-conformal
  A package for conformal prediction with conditional guarantees.
  ☆55Updated 2 months ago
• uhlerlab / causaldag
  Python package for the creation, manipulation, and learning of Causal DAGs
  ☆151Updated 2 years ago
• TorchUQ / torchuq
  A library for uncertainty quantification based on PyTorch
  ☆122Updated 3 years ago
• wesselb / neuralprocesses
  A framework for composing Neural Processes in Python
  ☆85Updated 4 months ago
• PGM-Lab / 2023-ProbAI
  Repo for the Tutorials of Day1-Day2 of the Nordic Probabilistic AI School 2023
  ☆17Updated last year
• fbickfordsmith / epig
  Bayesian active learning with EPIG data acquisition
  ☆31Updated 2 weeks ago