Alternatives and similar repositories for Decorrelated-Weighted-Regression:

Users that are interested in Decorrelated-Weighted-Regression are comparing it to the libraries listed below

• h-yu16 / Sparse_Variable_Independence
  Official repo for AAAI 2023 paper "Stable Learning via Sparse Variable Independence".
  ☆13Updated 8 months ago
• BaiTheBest / DRAIN
  GitHub Repo for ICLR 2023 Paper "Temporal Domain Generalization with Drift-Aware Dynamic Neural Networks"
  ☆57Updated last year
• xwshen51 / DEAR
  Disentangled gEnerative cAusal Representation (DEAR)
  ☆58Updated 2 years ago
• siamakz / iVAE
  VAEs and nonlinear ICA: a unifying framework
  ☆46Updated 5 years ago
• x-zho14 / MAPLE
  Code for Model Agnostic Sample Reweighting for Out-of-Distribution Learning
  ☆43Updated last year
• Silver-Shen / Stable_Linear_Model_Learning
  The implementation and addtional material of AAAI2020 paper "Stable Learning via Sample Reweighting"
  ☆16Updated 4 years ago
• DMIRLAB-Group / SASA
  ☆40Updated 2 years ago
• wt-hu / pyCausalFS
  pyCausalFS：A Python Library of Causality-based Feature Selection for Causal Structure Learning and Classification
  ☆67Updated 4 years ago
• juangamella / icp
  Python implementation of the Invariant Causal Prediction (ICP) algorithm, from the 2015 paper "Causal inference using invariant predictio…
  ☆20Updated last year
• Biwei-Huang / Causal-Discovery-from-Nonstationary-Heterogeneous-Data
  Causal Discovery from Nonstationary/Heterogeneous Data.
  ☆52Updated 4 years ago
• oezyurty / CLUDA
  Contrastive Learning for Domain Adaptation of Time Series
  ☆87Updated 10 months ago
• TongtongFANG / DIW
  Code for the paper "Rethinking Importance Weighting for Deep Learning under Distribution Shift".
  ☆28Updated 3 years ago
• JonathanCrabbe / Dynamask
  This repository contains the implementation of Dynamask, a method to identify the features that are salient for a model to issue its pred…
  ☆76Updated 2 years ago
• ignavierng / golem
  On the Role of Sparsity and DAG Constraints for Learning Linear DAGs
  ☆33Updated 3 years ago
• Arthur-Null / SRD
  Official pytorch implementation of Spatial Relation Decomposition method (AAAI 23)
  ☆23Updated last year
• changliu00 / causal-semantic-generative-model
  Codes for Causal Semantic Generative model (CSG), the model proposed in "Learning Causal Semantic Representation for Out-of-Distribution …
  ☆73Updated 2 years ago
• Biwei-Huang / Generalized-Score-Functions-for-Causal-Discovery
  A generalized score-based method for Causal Discovery
  ☆16Updated 4 years ago
• LJSthu / HRM
  The code for the paper 'Heterogeneous Risk Minimization' of ICML2021.
  ☆24Updated 3 years ago
• ckassaad / causal_discovery_for_time_series
  Causal discovery for time series
  ☆92Updated 2 years ago
• inouye-lab / ShapleyExplanationNetworks
  Implementation of the paper "Shapley Explanation Networks"
  ☆88Updated 4 years ago
• mims-harvard / Raincoat
  Domain Adaptation for Time Series Under Feature and Label Shifts
  ☆115Updated last year
• wenting-zhao / mpvae
  A pytorch implementation of mpvae.
  ☆13Updated 4 years ago
• ynysjtu / ood_bench
  ☆48Updated 2 years ago
• xxgege / StableNet
  Official repository for CVPR21 paper "Deep Stable Learning for Out-Of-Distribution Generalization".
  ☆187Updated 2 years ago
• linyongver / ZIN_official
  This is the implementation for the NeurIPS 2022 paper: ZIN: When and How to Learn Invariance Without Environment Partition?
  ☆22Updated 2 years ago
• AMLab-Amsterdam / DIVA
  Implementation of 'DIVA: Domain Invariant Variational Autoencoders'
  ☆100Updated 5 years ago
• thuml / Domain-Adaptation-Regression
  Code release for Representation Subspace Distance for Domain Adaptation Regression (ICML 2021)
  ☆80Updated 3 years ago
• yzhao062 / UOMS
  Resources and environment for unsupervised outlier model selection (UOMS)
  ☆23Updated 2 years ago
• BorisMuzellec / MissingDataOT
  A Pytorch implementation of missing data imputation using optimal transport.
  ☆96Updated 3 years ago
• jc-audet / WOODS
  Benchmarks for Out-of-Distribution Generalization in Time Series Tasks
  ☆68Updated 2 years ago