Alternatives and similar repositories for ESSAI-2023-Causality

Users that are interested in ESSAI-2023-Causality are comparing it to the libraries listed below

• zecevic-matej / SMLW-Causality-Tutorial
  Eastern European Machine Learning Summer School (EEML) Workshop Series 2022. Tutorial on Causality for the Serbian Machine Learning Works…
  ☆22Updated 3 years ago
• phlippe / ENCO
  Official repository of the paper "Efficient Neural Causal Discovery without Acyclicity Constraints"
  ☆86Updated last year
• vveitch / causality-tutorials
  Short tutorials on the use of machine learning methods for causal inference
  ☆48Updated 2 years ago
• psanch21 / VACA
  ☆23Updated 3 years ago
• VectorInstitute / Causal_Inference_Laboratory
  ☆22Updated 2 years ago
• larslorch / avici
  Amortized Inference for Causal Structure Learning, NeurIPS 2022
  ☆68Updated 7 months ago
• tristandeleu / jax-dag-gflownet
  Code for "Bayesian Structure Learning with Generative Flow Networks"
  ☆90Updated 3 years ago
• vios-s / DiffAN
  Diffusion Models for Causal Discovery
  ☆86Updated 2 years ago
• microsoft / csuite
  CSuite: A Suite of Benchmark Datasets for Causality
  ☆76Updated 2 years ago
• deshen24 / syntheticNN
  ☆24Updated 3 years ago
• bradyneal / realcause
  Realistic benchmark for different causal inference methods. The realism comes from fitting generative models to data with an assumed caus…
  ☆77Updated 4 years ago
• baosws / DrBO
  Causal Discovery via Bayesian Optimization (DrBO) - ICLR 2025
  ☆23Updated 5 months ago
• csquires / causal-rep-learning-reading-group
  ☆22Updated last year
• 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
• Valentyn1997 / CausalTransformer
  Code for the paper "Causal Transformer for Estimating Counterfactual Outcomes"
  ☆161Updated last year
• psanch21 / causal-flows
  ☆51Updated last year
• statmlben / nonlinear-causal
  nl-causal: nonlinear causal inference based on IV regression in Python
  ☆16Updated last year
• csquires / 6.S091-causality
  ☆190Updated 2 years ago
• patrickrchao / DiffusionBasedCausalModels
  ☆27Updated 5 months ago
• juangamella / causal-chamber
  Public dataset repository for the Causal Chamber Project
  ☆45Updated 2 months ago
• francescomontagna / causally
  Code for the causal benchmark library
  ☆12Updated 6 months ago
• seedatnabeel / TE-CDE
  Continuous-Time Modeling of Counterfactual Outcomes Using Neural Controlled Differential Equations (ICML 2022)
  ☆26Updated 3 years ago
• mingzhang-yin / CoCo
  An optimization-based algorithm to accurately estimate the causal effects and robustly predict under distribution shifts. It leverages th…
  ☆14Updated last year
• slachapelle / dcdi
  Repository for "Differentiable Causal Discovery from Interventional Data"
  ☆76Updated 3 years ago
• larslorch / dibs
  DiBS: Differentiable Bayesian Structure Learning, NeurIPS 2021
  ☆52Updated last year
• microsoft / Project-BayesDAG
  ☆14Updated last year
• charlesollion / dlexperiments
  Tutorials and experiments related to deep learning
  ☆15Updated 3 years ago
• chritoth / active-bayesian-causal-inference
  Active Bayesian Causal Inference (Neurips'22)
  ☆58Updated last year
• Nic5472K / ScientificData2021_HealthGym
  ☆24Updated 2 years ago
• Tikquuss / GflowNets_Tutorial
  GflowNets, MCMC, Metropolis-Hasting, Gibbs sampling, Metropolis-adjusted Langevin, Inverse Transform Sampling, Acceptance-Rejection Metho…
  ☆86Updated 2 years ago