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 5 months ago
• chunlinli / defuse
  Nonlinear Causal Discovery with Confounders
  ☆18Updated last year
• facebookresearch / CausalRepID
  Experiments to reproduce results in Interventional Causal Representation Learning.
  ☆25Updated last year
• stoat-proj / SToAT
  CUHK-SToAT: Open Statistical Toolkits
  ☆16Updated last week
• nbip / notMIWAE
  Code accompanying the notMIWAE paper
  ☆14Updated 3 years ago
• statmlben / awesome-ranking
  This repository contains a list of awesome literature in learning-to-rank.
  ☆15Updated last year
• CausalAILab / NCMCounterfactuals
  ☆12Updated last year
• msesia / arc
  Adaptive and Reliable Classification: efficient conformity scores for multi-class classification problems
  ☆31Updated last year
• msesia / conditional-conformal-pvalues
  Conditional calibration of conformal p-values for outlier detection.
  ☆34Updated 2 years ago
• iancovert / shapley-regression
  For calculating Shapley values via linear regression.
  ☆66Updated 3 years ago
• csquires / linear-causal-disentanglement-via-interventions
  ☆10Updated 10 months ago
• aangelopoulos / ltt
  Learn then Test: Calibrating Predictive Algorithms to Achieve Risk Control
  ☆65Updated 2 months ago
• vanderschaarlab / MIRACLE
  ☆25Updated 8 months ago
• patrickrchao / DiffusionBasedCausalModels
  ☆24Updated last year
• caus-am / jci
  Code for the paper "Joint Causal Inference from Multiple Contexts" (JMLR 2020)
  ☆15Updated 4 years ago
• vanderschaarlab / Interpretability
  Resources for Machine Learning Explainability
  ☆73Updated 4 months ago
• statmlben / awesome-statml
  This repository contains a list of awesome literature in statistics and machine learning.
  ☆14Updated 7 months ago
• deshen24 / syntheticNN
  ☆21Updated 3 years ago
• msesia / chr
  Conformal Histogram Regression: efficient conformity scores for non-parametric regression problems
  ☆21Updated 2 years ago
• iancovert / fastshap
  An amortized approach for calculating local Shapley value explanations
  ☆94Updated last year
• juangamella / ges
  Python implementation of the GES algorithm for causal discovery, from the 2002 paper "Optimal Structure Identification With Greedy Search…
  ☆55Updated 11 months ago
• tml-tuebingen / nshap
  Python package to compute interaction indices that extend the Shapley Value. AISTATS 2023.
  ☆17Updated last year
• juangamella / causal-chamber
  Dataset repository for the 2024 paper "The Causal Chambers: Real Physical Systems as a Testbed for AI Methodology" by Juan L. Gamella, Jo…
  ☆23Updated this week
• mlfoundations / tableshift
  A benchmark for distribution shift in tabular data
  ☆48Updated 7 months ago
• bradyneal / realcause
  Realistic benchmark for different causal inference methods. The realism comes from fitting generative models to data with an assumed caus…
  ☆71Updated 3 years ago
• rik-helwegen / CEVAE_pytorch
  ☆40Updated 5 years ago
• uhlerlab / causaldag
  Python package for the creation, manipulation, and learning of Causal DAGs
  ☆150Updated last year
• ahmedmalaa / discriminative-jackknife
  Codebase for "Discriminative Jackknife: Quantifying Uncertainty in Deep Learning via Higher-Order Influence Functions", ICML 2020.
  ☆8Updated 4 years ago
• vanderschaarlab / Datagnosis
  A Data-Centric library providing a unified interface for state-of-the-art methods for hardness characterisation of data points.
  ☆24Updated last week
• matthewvowels1 / Awesome-Causal-Inference
  A curated list of awesome work on causal inference, particularly in machine learning.
  ☆97Updated 3 years ago