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 10 months ago
• statmlben / awesome-statml
  This repository contains a list of awesome literature in statistics and machine learning.
  ☆14Updated 11 months ago
• statmlben / CUHK-STAT3009
  Recommender systems in Python
  ☆27Updated 5 months ago
• stoat-proj / SToAT
  CUHK-SToAT: Open Statistical Toolkits
  ☆19Updated 2 months ago
• chunlinli / defuse
  Nonlinear Causal Discovery with Confounders
  ☆19Updated 2 years ago
• wt-hu / pyCausalFS
  pyCausalFS：A Python Library of Causality-based Feature Selection for Causal Structure Learning and Classification
  ☆69Updated 4 years ago
• uhlerlab / causaldag
  Python package for the creation, manipulation, and learning of Causal DAGs
  ☆152Updated 2 years 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…
  ☆119Updated last year
• i6092467 / vadesc
  A probabilistic model to cluster survival data in a variational deep clustering setting
  ☆30Updated 2 years ago
• Genentech / nodags-flows
  ☆11Updated last year
• kimmo1019 / Roundtrip
  Roundtrip: density estimation with deep generative neural networks
  ☆61Updated last year
• iancovert / sage
  For calculating global feature importance using Shapley values.
  ☆270Updated this week
• gemoran / sparse-vae-code
  ☆32Updated 2 years ago
• amspector100 / knockpy
  Knockoffs for controlled variable selection
  ☆37Updated 2 weeks ago
• bradyneal / realcause
  Realistic benchmark for different causal inference methods. The realism comes from fitting generative models to data with an assumed caus…
  ☆75Updated 4 years ago
• psanch21 / VACA
  ☆23Updated 2 years ago
• lemeln / nam
  Neural Additive Models (Google Research)
  ☆28Updated last year
• zzzace2000 / nodegam
  Code for "NODE-GAM: Neural Generalized Additive Model for Interpretable Deep Learning"
  ☆46Updated 2 years ago
• kuiy / pyCausalFS
  An open-source package of causal feature selection and causal (Bayesian network) structure learning (Python version)
  ☆20Updated 4 years ago
• runopti / stg
  Python/R library for feature selection in neural nets. ("Feature selection using Stochastic Gates", ICML 2020)
  ☆107Updated 3 years ago
• Biwei-Huang / Causal-Discovery-from-Nonstationary-Heterogeneous-Data
  Causal Discovery from Nonstationary/Heterogeneous Data.
  ☆53Updated 4 years ago
• vveitch / causality-tutorials
  Short tutorials on the use of machine learning methods for causal inference
  ☆49Updated 2 years ago
• nrdg / groupyr
  groupyr: Sparse Group Lasso in Python
  ☆22Updated 8 months ago
• LevinRoman / tabular-transfer-learning
  A repo for transfer learning with deep tabular models
  ☆103Updated 2 years ago
• AmrMKayid / nam
  Neural Additive Models (Google Research)
  ☆70Updated 3 years ago
• AliciaCurth / CATENets
  Sklearn-style implementations of Neural Network-based Conditional Average Treatment Effect (CATE) Estimators.
  ☆141Updated 11 months ago
• z-dragonl / Causal-Learner
  Causal Learner: A Toolbox for Causal Structure and Markov Blanket Learning
  ☆41Updated 3 months ago
• juangamella / causal-chamber
  Public dataset repository for the Causal Chamber Project
  ☆40Updated last month
• ericstrobl / RCIT
  The Randomized Conditional Independence Test (RCIT) and the Randomized conditional Correlation Test (RCoT)
  ☆25Updated 6 years ago
• vanderschaarlab / hyperimpute
  A framework for prototyping and benchmarking imputation methods
  ☆183Updated 2 years ago