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Play atmospheric modelling like it's LEGO.
M.I.T General Circulation Model master code and documentation repository
library to read/write .npy and .npz files in C/C++
C++ library for reading and writing of numpy's .npy files
Hybrid ML + physics model of the Earth's atmosphere
Deep learning application for predicting ocean wave behaviors.
Implementation of Convolutional LSTM in PyTorch.
ConvLSTM/ConvGRU (Encoder-Decoder) with PyTorch on Moving-MNIST
The hackable text editor
😘 让你“爱”上 GitHub，解决访问时图裂、加载慢的问题。（无需安装）
🌊 Julia software for fast, friendly, flexible, ocean-flavored fluid dynamics on CPUs and GPUs
A rewrite of the old legacy software "depends.exe" in C# for Windows devs to troubleshoot dll load dependencies issues.
Flash OS images to SD cards & USB drives, safely and easily.
pix2tex: Using a ViT to convert images of equations into LaTeX code.
Analysis following Giddy et al - 2020, Stirring of sea ice meltwater enhances submesoscale fronts in the Southern Ocean
Synthetic-SAR-Image-Generation-for-Oil-Spill-Detection" utilizes synthetic aperture radar to detect oil spills. By generating synthetic SAR images and applying advanced object detection, it enhance…
Oil Spill Detection Algorithm using Convolutional Neural Network Architecture : U-net
Object Recognition using MobileNetV2 and Segmentation using U-net
Practical use case of U-NET model for Segmentation of Images to detect Oil leakge
Pollution by oil spills in open sea and coastal waters, whether accidental or deliberate, is a major problem, due to frequent transport of goods by ships, and represents a serious threat to the mar…
Oil spill detection in Synthetic Aperture Radar (SAR) images is a vital tool in monitoring and mitigating the environmental impact of oil spills on water bodies.
a small ML/CV to classify 8 classes of common fish types with 93%+ accuracy
Official implementation for NIPS'17 paper: PredRNN: Recurrent Neural Networks for Predictive Learning Using Spatiotemporal LSTMs.
ST-LSTM network implemented using PyTorch.
Learning the spatio-temporal relationship between wind and significant wave height using deep learning
A conda-smithy repository for copernicusmarine.