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facebookresearch/InvariantRiskMinimization

0
View on GitHub↗
0 stars·0 forks·9 views

InvariantRiskMinimization

Features

  • Long-Tailed / Out-of-Distribution Recognition - Listed in the “Long-Tailed / Out-of-Distribution Recognition” section of the The Incredible Pytorch awesome list.

Star history

Star history chart for facebookresearch/invariantriskminimizationStar history chart for facebookresearch/invariantriskminimization

How this analysis was created: This summary and feature list were written by an AI model that read the project's README and public documentation pages. Each feature links to the documentation it came from; stars, license and language come straight from the GitHub API. The model does not read the source code, and the analysis is refreshed when the project is re-analysed. Learn more on our About page.

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Frequently asked questions

What are the main features of facebookresearch/invariantriskminimization?

The main features of facebookresearch/invariantriskminimization are: Long-Tailed / Out-of-Distribution Recognition.

What are some open-source alternatives to facebookresearch/invariantriskminimization?

Open-source alternatives to facebookresearch/invariantriskminimization include: alinlab/confident_classifier. hendrycks/outlier-exposure — Deep Anomaly Detection with Outlier Exposure (ICLR 2019). kohpangwei/group_dro — Distributionally robust neural networks for group shifts. shiyuliang/odin-pytorch — Principled Detection of Out-of-Distribution Examples in Neural Networks. ufoym/imbalanced-dataset-sampler — A (PyTorch) imbalanced dataset sampler for oversampling low frequent classes and undersampling high frequent ones. uoguelph-mlrg/confidence_estimation.

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