Alternatives and similar repositories for Causal-Inference-via-Style-Transfer-for-OOD-Generalisation

Users that are interested in Causal-Inference-via-Style-Transfer-for-OOD-Generalisation are comparing it to the libraries listed below

• nktoan / risk-distribution-matching
  [WACV 2024] Domain Generalisation via Risk Distribution Matching
  ☆20Updated 7 months ago
• baosws / DrBO
  Causal Discovery via Bayesian Optimization (DrBO) - ICLR 2025
  ☆15Updated last month
• phantrdat / neuralbo
  ☆12Updated last year
• fan23j / ICML2024-OT-CLIP
  Official Repository for ICML 2024 Paper "OT-CLIP: Understanding and Generalizing CLIP via Optimal Transport"
  ☆14Updated 10 months ago
• kvmduc / TEAM-topo-evo-traffic-forecasting
  ☆9Updated this week
• huaxiuyao / Wild-Time
  Benchmark for Natural Temporal Distribution Shift (NeurIPS 2022)
  ☆66Updated 2 years ago
• vothuckhanhhuyen / continual-learning
  ☆8Updated 3 years ago
• MaheepChaudhary / Causality-in-Trustworthy-Machine-Learning
  The repository contains lists of papers on causality and how relevant techniques are being used to further enhance deep learning era comp…
  ☆92Updated last year
• nktoan / h-edit
  [CVPR 2025] h-Edit: Effective and Flexible Diffusion-Based Editing via Doob’s h-Transform
  ☆45Updated last month
• khainb / EBSW
  Official PyTorch implementation for paper: Energy-Based Sliced Wasserstein Distance
  ☆18Updated 2 months ago
• miniHuiHui / awesome-out-of-distribution-detection
  Paper of out of distribution detection and generalization
  ☆56Updated last year
• weitianxin / awesome-distribution-shift
  A curated list of papers and resources about the distribution shift in machine learning.
  ☆118Updated last year
• huaxiuyao / MLTI
  MLTI for ICLR 2022
  ☆30Updated 3 years ago
• khainb / Mini-batch-OT
  A new mini-batch framework for optimal transport in deep generative models, deep domain adaptation, approximate Bayesian computation, col…
  ☆37Updated 2 years ago
• patrickrchao / DiffusionBasedCausalModels
  ☆25Updated last month
• Qualcomm-AI-research / weakly-supervised-causal-representation-learning
  ☆29Updated last year
• YyzHarry / SubpopBench
  [ICML 2023] Change is Hard: A Closer Look at Subpopulation Shift
  ☆108Updated last year
• Sherrylone / ARB
  CVPR 2022 paper
  ☆16Updated 2 years ago
• facebookresearch / CausalRepID
  Experiments to reproduce results in Interventional Causal Representation Learning.
  ☆24Updated 2 years ago
• namratadeka / circe
  Efficient Conditionally Invariant Representation Learning (ICLR 2023, Oral)
  ☆21Updated 2 years ago
• VinAIResearch / DSW
  Distributional Sliced-Wasserstein distance code
  ☆49Updated 9 months ago
• xmq1221 / awesome-prototype-based-papers
  This is a list of awesome prototype-based papers for explainable artificial intelligence.
  ☆38Updated 2 years ago
• Impression2805 / OpenMix
  PyTorch implementation of our CVPR2023 paper "OpenMix: Exploring Out-of-Distribution samples for Misclassification Detection"
  ☆24Updated last year
• maohaos2 / PosthocUQ
  ☆17Updated 10 months ago
• h-yu16 / Sparse_Variable_Independence
  Official repo for AAAI 2023 paper "Stable Learning via Sparse Variable Independence".
  ☆13Updated 11 months ago
• teddykoker / evidential-learning-pytorch
  Evidential Deep Learning in PyTorch
  ☆55Updated 2 years ago
• Impression2805 / Awesome-Failure-Detection
  A list of papers that studies out-of-distribution (OOD) detection and misclassification detection (MisD)
  ☆48Updated last year
• Wang-ML-Lab / VDI
  [ICLR 2023 (Spotlight)] Domain-Indexing Variational Bayes: Interpretable Domain Index for Domain Adaptation
  ☆38Updated last year
• 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
• WonderSeven / LSSAE
  The official implementation of paper "Generalizing to Evolving Domains with Latent Structure-Aware Sequential Autoencoder"
  ☆24Updated last year