Fresnel-k's Stars
Fresnel-k/CCL-based-oceanic-eddy-identification
CCL-based oceanic eddy identification
KindXiaoming/pykan
Kolmogorov Arnold Networks
nsccsuperli/Mesoscale_Eddy_Detection
NOAA-PSL/COARE-algorithm
Repository of the COARE bulk air-sea flux algorithm in python, matlab, and fortran.
cesarsauvage/COARE3.5_modified_Sauvage-et-al._2023
anthony-meza/PyCOARE3.0
Porting COARE3.0 to Python....
MillerWu2014/trajectory-cluster
Implement Trajectory Clustering: A Partition-and-Group Framework
SimonVandenhende/Awesome-Multi-Task-Learning
A list of multi-task learning papers and projects.
AI4Ocean/ETPNet
The code of the paper "Medium-range Trajectory Prediction Network Compliant to Physical Constraint for Oceanic Eddy"
labmlai/annotated_deep_learning_paper_implementations
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
luuuyi/CBAM.PyTorch
Non-official implement of Paper:CBAM: Convolutional Block Attention Module
Fresnel-k/zhr-action-demo
浙江大学健康打卡自动打卡脚本 GitHub Action 例子,只需一步 Fork 即可使用,每天定时帮你自动打卡。
amazon-science/earth-forecasting-transformer
Official implementation of Earthformer
zhangyanbiao/predrnn-_pytorch
This is a Pytorch implementation of PredRNN++
nmygle/MIM
A Pytorch implementation of Memory in Memory: https://github.com/Yunbo426/MIM
bugsuse/MIM_PyTorch
PyTorch Code of "Memory In Memory: A Predictive Neural Network for Learning Higher-Order Non-Stationarity from Spatiotemporal Dynamics"
thuml/predrnn-pytorch
Official implementation for NIPS'17 paper: PredRNN: Recurrent Neural Networks for Predictive Learning Using Spatiotemporal LSTMs.
davidhallac/TICC
maikol-solis/trajectory_distance
roo-oliv/extra-trees
Extremely Randomized Trees algorithm implementation in Python
peijin94/PJCurvature
Calculate the curvature of discrete points
qier222/YesPlayMusic
高颜值的第三方网易云播放器,支持 Windows / macOS / Linux :electron:
MGYBY/advanced_ocean_modelling
curow/vehicle-trajectory-prediction
manohar029/TimeSeries-Seq2Seq-deepLSTMs-Keras
This project aims to give you an introduction to how Seq2Seq based encoder-decoder neural network architectures can be applied on time series data to make forecasts. The code is implemented in pyhton with Keras (Tensorflow backend).
Sanyam-Mehta/TPA-LSTM-PyTorch
This is the PyTorch implementation of TPA-LSTM
PsiPhiTheta/LSTM-Attention
A Comparison of LSTMs and Attention Mechanisms for Forecasting Financial Time Series
ndrplz/ConvLSTM_pytorch
Implementation of Convolutional LSTM in PyTorch.
redouanelg/EddyNet
EddyNet: A Deep Neural Network For Pixel-Wise Classification of Oceanic Eddies