Alternatives and similar repositories for LaCIM

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

• 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 3 years ago
• Out-of-Distribution-Generalization / Out-of-Distribution-Generalization.github.io
  ☆26Updated 2 years ago
• ecreager / eiil
  Code for Environment Inference for Invariant Learning (ICML 2021 Paper)
  ☆50Updated 3 years ago
• 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
• ahujak / IB-IRM
  ☆30Updated 3 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
• LJSthu / Kernelized-HRM
  The code for our NeurIPS 2021 paper "Kernelized Heterogeneous Risk Minimization".
  ☆12Updated 3 years ago
• Luodian / IIB
  ☆16Updated 3 years ago
• mgong2 / DA_Infer
  Domain Adaptation as a Problem of Inference on Graphical Models
  ☆29Updated 4 years ago
• IRMBed / IRMBed
  This is the project for IRM methods
  ☆12Updated 3 years ago
• cvlab-columbia / CT4Recognition
  ☆23Updated 2 years ago
• WonderSeven / LSSAE
  The official implementation of paper "Generalizing to Evolving Domains with Latent Structure-Aware Sequential Autoencoder"
  ☆24Updated last year
• JeanKaddour / SIN
  Causal Effect Inference for Structured Treatments (SIN) (NeurIPS 2021)
  ☆42Updated 3 years ago
• m-Just / OoD-Bench
  ☆44Updated last month
• xwshen51 / DEAR
  Disentangled gEnerative cAusal Representation (DEAR)
  ☆60Updated 2 years ago
• ybjiaang / ACTIR
  Code repository for the paper "Invariant and Transportable Representations for Anti-Causal Domain Shifts"
  ☆16Updated 2 years ago
• deeplearning-wisc / vit-spurious-robustness
  ☆26Updated 2 years ago
• DMIRLAB-Group / DSAN
  ☆19Updated 3 years ago
• VITA-Group / MAK
  [NeurIPS 2021] “Improving Contrastive Learning on Imbalanced Data via Open-World Sampling”, Ziyu Jiang, Tianlong Chen, Ting Chen, Zhangya…
  ☆28Updated 3 years ago
• yixinwang / representation-causal-public
  ☆44Updated 3 years ago
• TjuJianyu / RFC
  ☆12Updated last year
• weigq / neurips2021_stats
  ☆35Updated 3 years ago
• zhangq327 / ARC
  Official Code for ICLR2022 Paper: Chaos is a Ladder: A New Theoretical Understanding of Contrastive Learning via Augmentation Overlap
  ☆28Updated 2 years ago
• facebookresearch / CausalRepID
  Experiments to reproduce results in Interventional Causal Representation Learning.
  ☆24Updated 2 years ago
• AI-secure / multi-task-learning
  Code for the ICML 2021 paper "Bridging Multi-Task Learning and Meta-Learning: Towards Efficient Training and Effective Adaptation", Haoxi…
  ☆68Updated 3 years ago
• AMLab-Amsterdam / DataAugmentationInterventions
  ☆27Updated 4 years ago
• linyongver / Bayesian-Invariant-Risk-Minmization
  This is the code for the paper Bayesian Invariant Risk Minmization of CVPR 2022.
  ☆44Updated last year
• LFhase / PAIR
  [ICLR 2023, ICLR DG oral] PAIR, the optimizer and model selection criteria for OOD Generalization
  ☆53Updated last year
• anshuman23 / InfDataSel
  Code for paper: “What Data Benefits My Classifier?” Enhancing Model Performance and Interpretability through Influence-Based Data Selecti…
  ☆22Updated last year
• patrickrchao / DiffusionBasedCausalModels
  ☆25Updated last month