Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
https://github.com/THUMNLab/awesome-graph-ood
Papers about out-of-distribution generalization on graphs.
deep-learning graph-mining graph-neural-networks machine-learning out-of-distribution-generalization
Last synced: 20 Jun 2024
https://github.com/yangnianzu0515/MoleOOD
Official implementation for the paper "Learning Substructure Invariance for Out-of-Distribution Molecular Representations" (NeurIPS 2022).
graph-classification molecule-representation-learning out-of-distribution-generalization pytorch
Last synced: 27 May 2024
https://github.com/LFhase/CIGA
[NeurIPS 2022] Learning Causally Invariant Representations for Out-of-Distribution Generalization on Graphs
causal-inference causal-representation-learning distribution-shift drug-discovery graph-neural-networks graph-representation-learning invariant-learning out-of-distribution-generalization
Last synced: 20 May 2024
https://github.com/huytransformer/Awesome-Out-Of-Distribution-Detection
A professionally curated list of papers, tutorials, books, videos, articles and open-source libraries etc for Out-of-distribution detection, robustness, and generalization
awesome awesome-list deep-learning distribution distribution-shift generalization machine ood ood-detection ood-generalization open-world open-world-learning out-of-distribution out-of-distribution-detection out-of-distribution-generalization python robustness
Last synced: 14 May 2024
https://github.com/thuml/Transfer-Learning-Library
Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain Generalization
adversarial-learning dann deep-learning domain-adaptation finetune image-translation out-of-distribution-generalization self-training semi-supervised-learning transfer-learning unsupervised-domain-adaptation
Last synced: 09 May 2024
https://github.com/continuousml/Awesome-Out-Of-Distribution-Detection
A professionally curated list of papers, tutorials, books, videos, articles and open-source libraries etc for Out-of-distribution detection, robustness, and generalization
awesome awesome-list deep-learning distribution distribution-shift generalization machine ood ood-detection ood-generalization open-world open-world-learning out-of-distribution out-of-distribution-detection out-of-distribution-generalization python robustness
Last synced: 11 Apr 2024
https://github.com/MinghuiChen43/awesome-trustworthy-deep-learning
A curated list of trustworthy deep learning papers. Daily updating...
adversarial-machine-learning ai-alignment backdoor causality deep-learning fairness gradient-leakage green-ai hallucinations interpretable-deep-learning machine-unlearning membership-inference-attack out-of-distribution-generalization ownership poisoning privacy robustness security uncertainty watermarking
Last synced: 28 Mar 2024
https://github.com/divelab/GOOD
GOOD: A Graph Out-of-Distribution Benchmark [NeurIPS 2022 Datasets and Benchmarks]
deep-learning distribution-shift graph-neural-networks graph-ood invariant-learning out-of-distribution-generalization pytorch pytorch-geometric
Last synced: 17 Mar 2024
