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marine-science

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JoanaR / multi-mode-CNN-pytorch

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A PyTorch implementation of the Multi-Mode CNN to reconstruct Chlorophyll-a time series in the global ocean from oceanic and atmospheric physical drivers

deep-learning time-series climate regression pytorch oceanography remote-sensing convolutional-neural-networks satellite-data earth-observation interpretability attention-mechanisms phytoplankton ocean-color chlorophyll-a marine-science global-scale biogeochemical-regions physical-drivers seasonal-interannual-timescale
  • Updated May 18, 2023
  • Jupyter Notebook

sams-tom / Multimodal-AUV

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Leveraging Bayesian Neural Networks for multimodal AUV data fusion, enabling precise and uncertainty-aware mapping of underwater environments.

python machine-learning computer-vision deep-learning geospatial-data pytorch remote-sensing uncertainty-quantification underwater-robotics auv environmental-monitoring bayesian-neural-networks data-fusion habitat-mapping marine-science multimodal-ai sonar-data environmental-ai optical-imagery
  • Updated Jul 4, 2025
  • Python

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