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Multimodal AUV Bayesian Neural Networks for Underwater Environmental Understanding
pip install multimodal-auv
PyPI declares 23 unique dependency rules for this release. Environment markers are shown when supplied by the project.
<3.0.0,>=2.1.0<3.0.0,>=2.3.0<0.6.0,>=0.5.0<9.0.0,>=8.1.8<2025.0.0,>=2024.6.1<0.32.0,>=0.31.2<3.0.0,>=2.37.0<2.0.0,>=1.4.2<4.0.0,>=3.9.2==1.26.4<5.0.0.0,>=4.11.0.86<3.0.0,>=2.2.3The compact report shows 12 of 23 declarations. The interactive dependency graph loads the complete metadata.
multimodal-auv publishes 1 wheel and 1 source archive for version 0.1.0. Wheel platform tags: any.
Declared Python classifiers: 3.9.
PyPI lists 5 releases with files. The first dated release is ; 5 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .