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Merge pull request #9 from edadaltocg/main
Browse files- README.md +1 -1
- requirements.txt +6 -6
README.md
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license: mit
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# OOD Detection Demo
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Out-of-distribution (OOD) detection is an essential safety measure for machine learning models. This app demonstrates how these methods can be useful. They try to determine wether we can trust the predictions of a ResNet-50 model trained on ImageNet-1K.
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license: mit
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# OOD Detection Demo 🧐
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Out-of-distribution (OOD) detection is an essential safety measure for machine learning models. This app demonstrates how these methods can be useful. They try to determine wether we can trust the predictions of a ResNet-50 model trained on ImageNet-1K.
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requirements.txt
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aiofiles==23.2.1
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aiohttp==3.8.
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aiosignal==1.3.1
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altair==5.1.0
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anyio==3.6.2
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attrs==23.1.0
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bcrypt==4.0.1
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black==22.10.0
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certifi==
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cffi==1.15.1
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charset-normalizer==2.1.1
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click==8.1.3
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contourpy==1.0.6
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cryptography==
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cycler==0.11.0
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fastapi==0.88.0
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ffmpy==0.3.0
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jsonschema-specifications==2023.7.1
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kiwisolver==1.4.4
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linkify-it-py==1.0.3
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markdown-it-py==2.
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MarkupSafe==2.1.1
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matplotlib==3.6.2
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mdit-py-plugins==0.3.2
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PyYAML==6.0
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referencing==0.30.2
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regex==2022.10.31
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requests==2.
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rfc3986==1.5.0
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rpds-py==0.10.0
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safetensors==0.3.3
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semantic-version==2.10.0
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six==1.16.0
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sniffio==1.3.0
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starlette==0.
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sympy==1.12
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timm==0.9.5
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tokenizers==0.13.2
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aiofiles==23.2.1
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aiohttp==3.8.5
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aiosignal==1.3.1
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altair==5.1.0
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anyio==3.6.2
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attrs==23.1.0
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bcrypt==4.0.1
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black==22.10.0
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certifi==2023.7.22
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cffi==1.15.1
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charset-normalizer==2.1.1
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click==8.1.3
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contourpy==1.0.6
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cryptography==41.0.3
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cycler==0.11.0
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fastapi==0.88.0
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ffmpy==0.3.0
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jsonschema-specifications==2023.7.1
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kiwisolver==1.4.4
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linkify-it-py==1.0.3
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markdown-it-py==2.2.0
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MarkupSafe==2.1.1
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matplotlib==3.6.2
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mdit-py-plugins==0.3.2
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PyYAML==6.0
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referencing==0.30.2
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regex==2022.10.31
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requests==2.31.0
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rfc3986==1.5.0
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rpds-py==0.10.0
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safetensors==0.3.3
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semantic-version==2.10.0
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six==1.16.0
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sniffio==1.3.0
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starlette==0.27.0
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sympy==1.12
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timm==0.9.5
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tokenizers==0.13.2
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