cxzhangqi's repositories
ADCP_Processing
Code processes binary ADCP data and incorporates some quality control measures.
argodata
Download Argo Ocean Float Data
attention-cnn
Source code for "On the Relationship between Self-Attention and Convolutional Layers"
aviso-lagrangian
Finite Size Lyapunov Exponent (FSLE) is a local lagrangian diagnostics that is widely used for the study of transport and mixing processes of oceanographic tracers (Sea surface temperature, Ocean color ...). Its computation is derived from the definition of Finite-Time Lyapunov Exponent that allows the identification of Lagrangian Coherent Structures.
Awesome-Edge-Detection-Papers
:books: A collection of edge/contour/boundary detection papers and toolbox.
Compressive_Sensing
Master Thesis: State Estimation Using Few Measurements by Combining Kalman Filtering and Compressive Sensing (also the Kalman Filtered Compressive Sensing Using Pseudo Measurements)
deep-learning-em-ducting
Deep learning model for classifying and characterizing atmospheric ducting within the maritime setting
Deep-learning-paper-for-OFDM-Communication
应用深度学习到OFDM通信系统中的论文文献汇总
deepxde
A library for scientific machine learning and physics-informed learning
echopype
Enabling interoperability and scalability in ocean sonar data analysis
EMSimulation
Software packages for electromagnetic simulations (DDA and FDTD)
forecasting-toolkit
Forecasting Toolkit: A collection of notebooks and scripts for handling and forecasting time series
Fortran-code-on-GitHub
Directory of Fortran codes on GitHub, arranged by topic
hif-benchmarking
🌇🌆 Benchmarking of Hyperspectral Image Fusion methods 🏙🌃
LSENet
Location and Seasonality Enhanced Network for Multi-Class Ocean Front Detection
nps_uw_multibeam_sonar
Multibeam sonar plugin with NVIDIA Cuda library
nsfds2
Navier-stokes solver for acoustics
OHT_analysis
Ocean Heat Transport Estimation from Argo floats
papers-on-AI-in-earth-sciences
📰 📄 A collection of research papers from the earth science community that use AI approaches.
pbdl-book
Welcome to the Physics-based Deep Learning Book (v0.2)
PyKrige
Kriging Toolkit for Python
python-resources-for-earth-sciences
A Curated List of Python Resources for Earth Sciences
qgs
A 2-layer quasi-geostrophic atmospheric model in Python. Can be coupled to a simple land or shallow-water ocean component.
RFDereverb
The Signature and Elimination of Sediment Reverberations on Submarine Receiver Functions - JGR Solid Earth (in review)
scikit-fda
Functional Data Analysis Python package
Sonar_Detection_Mechanism
Sonar Detection Mechanism project is helpful for exploring and mapping the ocean because sound waves travel farther in the water than do radar and light waves.
techniques
Techniques for deep learning with satellite & aerial imagery
transferlearning
Everything about Transfer Learning and Domain Adaptation--迁移学习
wave-propagation-1
Wave propagation framework for Python 3. Documentation and examples: https://wave-propagation.readthedocs.io/en/latest/