Alternatives and similar repositories for nonlinear-causal:

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

• statmlben / dnn-inference
  Significance tests of feature relevance for a black-box learner
  ☆18Updated 7 months ago
• statmlben / awesome-statml
  This repository contains a list of awesome literature in statistics and machine learning.
  ☆14Updated 9 months ago
• statmlben / CUHK-STAT3009
  Recommender systems in Python
  ☆27Updated 2 months ago
• stoat-proj / SToAT
  CUHK-SToAT: Open Statistical Toolkits
  ☆18Updated 2 months ago
• chunlinli / defuse
  Nonlinear Causal Discovery with Confounders
  ☆20Updated 2 years ago
• psanch21 / VACA
  ☆24Updated 2 years ago
• dobriban / Topics-In-Modern-Statistical-Learning
  Materials for STAT 991: Topics In Modern Statistical Learning (UPenn, 2022 Spring) - uncertainty quantification, conformal prediction, ca…
  ☆166Updated 10 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…
  ☆115Updated last year
• juangamella / causal-chamber
  Public dataset repository for the Causal Chamber Project
  ☆28Updated last month
• mlfoundations / tableshift
  A benchmark for distribution shift in tabular data
  ☆50Updated 9 months ago
• jjcherian / conditional-conformal
  A package for conformal prediction with conditional guarantees.
  ☆52Updated last month
• iancovert / shapley-regression
  For calculating Shapley values via linear regression.
  ☆67Updated 3 years ago
• azizilab / sdcd
  Stable Differentiable Causal Discovery (SDCD)
  ☆22Updated 9 months ago
• AliciaCurth / CATENets
  Sklearn-style implementations of Neural Network-based Conditional Average Treatment Effect (CATE) Estimators.
  ☆136Updated 9 months ago
• IBM-HRL-MLHLS / IBM-Causal-Inference-Benchmarking-Framework
  Data derived from the Linked Births and Deaths Data (LBIDD); simulated pairs of treatment assignment and outcomes; scoring code
  ☆82Updated 6 years ago
• ilkhem / iVAE
  VAEs and nonlinear ICA: a unifying framework
  ☆34Updated 4 years ago
• siamakz / iVAE
  VAEs and nonlinear ICA: a unifying framework
  ☆47Updated 5 years ago
• Genentech / nodags-flows
  ☆9Updated last year
• facebookresearch / CausalRepID
  Experiments to reproduce results in Interventional Causal Representation Learning.
  ☆25Updated 2 years ago
• bradyneal / realcause
  Realistic benchmark for different causal inference methods. The realism comes from fitting generative models to data with an assumed caus…
  ☆72Updated 3 years ago
• rik-helwegen / CEVAE_pytorch
  ☆44Updated 6 years ago
• wt-hu / pyCausalFS
  pyCausalFS：A Python Library of Causality-based Feature Selection for Causal Structure Learning and Classification
  ☆68Updated 4 years ago
• patrickrchao / DiffusionBasedCausalModels
  ☆24Updated last year
• causal-machine-learning-lab / mliv
  ☆27Updated 2 years ago
• kochbj / Deep-Learning-for-Causal-Inference
  Extensive tutorials for learning how to build deep learning models for causal inference (HTE) using selection on observables in Tensorflo…
  ☆314Updated 5 months ago
• slachapelle / dcdi
  Repository for "Differentiable Causal Discovery from Interventional Data"
  ☆72Updated 3 years ago
• ryantibs / conformal
  Tools for conformal inference in regression
  ☆236Updated 7 months ago
• cmu-phil / py-tetrad
  Makes algorithms/code in Tetrad available in Python via JPype
  ☆72Updated last week
• caus-am / jci
  Code for the paper "Joint Causal Inference from Multiple Contexts" (JMLR 2020)
  ☆16Updated 4 years ago
• juangamella / ges
  Python implementation of the GES algorithm for causal discovery, from the 2002 paper "Optimal Structure Identification With Greedy Search…
  ☆55Updated 3 weeks ago