Alternatives and similar repositories for ZIN_official:

Users that are interested in ZIN_official are comparing it to the libraries listed below

• linyongver / Bayesian-Invariant-Risk-Minmization
  This is the code for the paper Bayesian Invariant Risk Minmization of CVPR 2022.
  ☆42Updated last year
• x-zho14 / MAPLE
  Code for Model Agnostic Sample Reweighting for Out-of-Distribution Learning
  ☆43Updated last year
• huaxiuyao / Wild-Time
  Benchmark for Natural Temporal Distribution Shift (NeurIPS 2022)
  ☆65Updated last year
• LFhase / PAIR
  [ICLR 2023, ICLR DG oral] PAIR, the optimizer and model selection criteria for OOD Generalization
  ☆52Updated 10 months ago
• LJSthu / HRM
  The code for the paper 'Heterogeneous Risk Minimization' of ICML2021.
  ☆24Updated 3 years ago
• ecreager / eiil
  Code for Environment Inference for Invariant Learning (ICML 2021 Paper)
  ☆50Updated 3 years ago
• ynysjtu / ood_bench
  ☆48Updated 2 years ago
• m-Just / OoD-Bench
  ☆42Updated 2 years ago
• ahujak / IB-IRM
  ☆30Updated 3 years ago
• Out-of-Distribution-Generalization / Out-of-Distribution-Generalization.github.io
  ☆26Updated 2 years ago
• mpagli / Agree-to-Disagree
  Repo for the paper: "Agree to Disagree: Diversity through Disagreement for Better Transferability"
  ☆35Updated 2 years ago
• ybjiaang / ACTIR
  Code repository for the paper "Invariant and Transportable Representations for Anti-Causal Domain Shifts"
  ☆16Updated 2 years ago
• Wuyxin / DISC
  Discover and Cure: Concept-aware Mitigation of Spurious Correlation (ICML 2023)
  ☆40Updated 10 months ago
• namkoong-lab / whyshift
  A python package providing a benchmark with various specified distribution shift patterns.
  ☆56Updated last year
• Vanint / Core-tuning
  This repository is the official implementation of Unleashing the Power of Contrastive Self-Supervised Visual Models via Contrast-Regulari…
  ☆21Updated 2 years ago
• Wang-ML-Lab / VDI
  [ICLR 2023 (Spotlight)] Domain-Indexing Variational Bayes: Interpretable Domain Index for Domain Adaptation
  ☆38Updated last year
• BaiTheBest / DRAIN
  GitHub Repo for ICLR 2023 Paper "Temporal Domain Generalization with Drift-Aware Dynamic Neural Networks"
  ☆56Updated last year
• IBM / model-reprogramming
  Repository for research works and resources related to model reprogramming <https://arxiv.org/abs/2202.10629>
  ☆59Updated 11 months ago
• amazon-science / long-tailed-ood-detection
  Official implementation for "Partial and Asymmetric Contrastive Learning for Out-of-Distribution Detection in Long-Tailed Recognition" (I…
  ☆43Updated last year
• anniesch / surgical-finetuning
  Code for "Surgical Fine-Tuning Improves Adaptation to Distribution Shifts" published at ICLR 2023
  ☆29Updated last year
• anniesch / jtt
  Code for "Just Train Twice: Improving Group Robustness without Training Group Information"
  ☆70Updated 8 months ago
• WonderSeven / LSSAE
  The official implementation of paper "Generalizing to Evolving Domains with Latent Structure-Aware Sequential Autoencoder"
  ☆24Updated 11 months ago
• TjuJianyu / RFC
  ☆12Updated last year
• IRMBed / IRMBed
  This is the project for IRM methods
  ☆12Updated 3 years ago
• namratadeka / circe
  Efficient Conditionally Invariant Representation Learning (ICLR 2023, Oral)
  ☆21Updated 2 years ago
• facebookresearch / CausalRepID
  Experiments to reproduce results in Interventional Causal Representation Learning.
  ☆25Updated 2 years ago
• HongtengXu / Reading-List
  A list of papers for group meeting
  ☆15Updated last month
• Ray-rui / Dist-PU-Positive-Unlabeled-Learning-from-a-Label-Distribution-Perspective
  PyTorch implementation of Dist-PU (CVPR 2022)
  ☆21Updated 2 years ago
• changdaeoh / FarconVAE
  Official implementation for KDD'22 paper "Learning Fair Representation via Distributional Contrastive Disentanglement"
  ☆23Updated 2 years ago
• huaxiuyao / C-Mixup
  C-Mixup for NeurIPS 2022
  ☆68Updated last year