Alternatives and similar repositories for gadjid

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

• caus-am / jci
  Code for the paper "Joint Causal Inference from Multiple Contexts" (JMLR 2020)
  ☆16Updated 5 years ago
• boschresearch / causalAssembly
  ☆32Updated 3 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…
  ☆135Updated last year
• anishazaveri / austen_plots
  Demo data and code for "Sense and Sensitivity Analysis: Simple Post-Hoc Analysis of Bias Due to Unobserved Confounding".
  ☆26Updated 4 years ago
• francescomontagna / causally
  Code for the causal benchmark library
  ☆12Updated 9 months ago
• acmi-lab / local-causal-discovery
  Code for the paper "Local Causal Discovery for Estimating Causal Effects".
  ☆11Updated last year
• slachapelle / dcdi
  Repository for "Differentiable Causal Discovery from Interventional Data"
  ☆77Updated 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…
  ☆84Updated 4 years ago
• vdorie / npci
  Non-parametrics for Causal Inference
  ☆50Updated 3 years ago
• juangamella / causal-chamber
  Public dataset repository for the Causal Chamber Project
  ☆53Updated last month
• vdorie / aciccomp
  Code to run submissions for the Atlantic Causal Inference Competition
  ☆43Updated last year
• csquires / causal-rep-learning-reading-group
  ☆22Updated 2 years ago
• juangamella / ges
  Python implementation of the GES algorithm for causal discovery, from the 2002 paper "Optimal Structure Identification With Greedy Search…
  ☆61Updated 9 months ago
• rflperry / sparse_shift
  ☆11Updated 3 years ago
• CausalDisco / CausalDisco
  CausalDisco contains baseline algorithms and analytics tools for Causal Discovery. The package can be installed by running `pip install C…
  ☆16Updated 2 years ago
• soda-inria / caussim
  Simulations for predictive model selection in causal inference
  ☆13Updated 10 months ago
• cmu-phil / example-causal-datasets
  Example causal datasets with consistent formatting and ground truth
  ☆100Updated 7 months ago
• felixleopoldo / benchpress
  Scalable open-source software to run, develop, and benchmark causal discovery algorithms
  ☆74Updated last week
• larslorch / dibs
  DiBS: Differentiable Bayesian Structure Learning, NeurIPS 2021
  ☆51Updated last year
• sweichwald / tidybench
  TIme series DiscoverY BENCHmark (tidybench)
  ☆38Updated last year
• CharonWangg / Awesome-Causal-Discovery
  An awesome list of Causality and Machine Learning related papers, books and other resources.
  ☆13Updated 2 years ago
• Rose-STL-Lab / MCD
  Implementation of the ICML 2024 paper "Discovering Mixtures of Structural Causal Models from Time Series Data"
  ☆23Updated 5 months ago
• vveitch / causality-tutorials
  Short tutorials on the use of machine learning methods for causal inference
  ☆49Updated 3 years ago
• seedatnabeel / TE-CDE
  Continuous-Time Modeling of Counterfactual Outcomes Using Neural Controlled Differential Equations (ICML 2022)
  ☆26Updated 3 years ago
• chunlinli / defuse
  Nonlinear Causal Discovery with Confounders
  ☆21Updated 2 years ago
• christinaheinze / CompareCausalNetworks
  A unified interface for the estimation of causal networks
  ☆22Updated 5 years ago
• CoCaLa / causality-tutorial-exercises
  ☆50Updated last year
• larslorch / avici
  Amortized Inference for Causal Structure Learning, NeurIPS 2022
  ☆68Updated 10 months ago
• VectorInstitute / Causal_Inference_Laboratory
  ☆23Updated 2 years ago
• edfong / conformal_bayes
  Conformal Bayes with importance sampling
  ☆23Updated 4 years ago