PyTorch code to run synthetic experiments.
☆436Sep 8, 2021Updated 5 years ago
Alternatives and similar repositories for InvariantRiskMinimization
Users that are interested in InvariantRiskMinimization are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Implementation of Invariant Risk Minimization https://arxiv.org/abs/1907.02893☆95Feb 13, 2020Updated 6 years ago
- ☆63Sep 29, 2020Updated 6 years ago
- An Empirical Study of Invariant Risk Minimization☆27Jul 6, 2020Updated 6 years ago
- Code for Environment Inference for Invariant Learning (ICML 2021 Paper)☆52Jun 10, 2021Updated 5 years ago
- DomainBed is a suite to test domain generalization algorithms☆1,630Dec 16, 2025Updated 10 months ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Distributionally robust neural networks for group shifts☆301Jan 3, 2023Updated 3 years ago
- Toy datasets to evaluate algorithms for domain generalization and invariance learning.☆43Dec 5, 2021Updated 4 years ago
- ☆32Oct 13, 2021Updated 5 years ago
- A machine learning benchmark of in-the-wild distribution shifts, with data loaders, evaluators, and default models.☆605Jan 26, 2024Updated 2 years ago
- This is the code for the paper Bayesian Invariant Risk Minmization of CVPR 2022.☆50Jun 25, 2023Updated 3 years ago
- All about domain generalization☆845Feb 25, 2025Updated last year
- ☆26Oct 26, 2020Updated 6 years ago
- ☆35Mar 13, 2021Updated 5 years ago
- ☆32Jul 8, 2018Updated 8 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Tensorflow implementation of Invariant Rationalization☆50Feb 16, 2023Updated 3 years ago
- Repository for theory and methods for Out-of-Distribution (OoD) generalization☆62Mar 4, 2022Updated 4 years ago
- ☆49Nov 1, 2022Updated 3 years ago
- ☆49Jan 17, 2023Updated 3 years ago
- This is the implementation for the NeurIPS 2022 paper: ZIN: When and How to Learn Invariance Without Environment Partition?☆22Dec 3, 2022Updated 3 years ago
- [CVPR'22 Oral] Quantifying and Understanding Two Dimensions of Out-of-Distribution Generalization☆45Oct 30, 2025Updated last year
- This repo provides code used in the paper "Predicting with High Correlation Features" (https://arxiv.org/abs/1910.00164):☆53May 1, 2025Updated last year
- 关于domain generalization，domain adaptation，causality，robutness，prompt，optimization，generative model各式各样研究的阅读笔记☆1,247Dec 14, 2023Updated 2 years ago
- Official implementation of paper Gradient Matching for Domain Generalization☆128Dec 14, 2021Updated 4 years ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- ☆112Sep 20, 2023Updated 3 years ago
- Official PyTorch implementation of the Fishr regularization for out-of-distribution generalization☆90May 25, 2022Updated 4 years ago
- Simple data balancing baselines for worst-group-accuracy benchmarks.☆45Oct 24, 2023Updated 3 years ago
- Learning from Failure: Training Debiased Classifier from Biased Classifier (NeurIPS 2020)☆93Oct 22, 2020Updated 6 years ago
- Repository for the CVPR19 oral paper "Domain Generalization by Solving Jigsaw Puzzles"☆250Dec 8, 2022Updated 3 years ago
- ☆22Nov 11, 2023Updated 2 years ago
- ☆23Jun 15, 2022Updated 4 years ago
- ➕➕ Perfect Match is a simple method for learning representations for counterfactual inference with neural networks.☆133Mar 24, 2023Updated 3 years ago
- ☆144Oct 2, 2020Updated 6 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- ☆11May 7, 2023Updated 3 years ago
- Code for the paper "Generalizing to Unseen Domains via Adversarial Data Augmentation", NeurIPS 2018☆120Apr 24, 2020Updated 6 years ago
- Toolkit for building machine learning models that generalize to unseen domains and are robust to privacy and other attacks.☆176Oct 3, 2023Updated 3 years ago
- An index of algorithms for learning causality with data☆3,298Oct 7, 2026Updated 3 weeks ago
- Self-Supervised Learning with Data Augmentations Provably Isolates Content from Style☆54Jan 12, 2022Updated 4 years ago
- ImageNet Testbed, associated with the paper "Measuring Robustness to Natural Distribution Shifts in Image Classification."☆119Aug 5, 2023Updated 3 years ago
- Code to reproduce the experimental results from the paper "Active Invariant Causal Prediction: Experiment Selection Through Stability", b…☆22Jul 6, 2023Updated 3 years ago