CCL-based oceanic eddy identification

Kolmogorov Arnold Networks

Repository of the COARE bulk air-sea flux algorithm in python, matlab, and fortran.

Porting COARE3.0 to Python....

Implement Trajectory Clustering: A Partition-and-Group Framework

A list of multi-task learning papers and projects.

The code of the paper "Medium-range Trajectory Prediction Network Compliant to Physical Constraint for Oceanic Eddy"

🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…

Non-official implement of Paper：CBAM: Convolutional Block Attention Module

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。

Official implementation of Earthformer

This is a Pytorch implementation of PredRNN++

A Pytorch implementation of Memory in Memory: https://github.com/Yunbo426/MIM

PyTorch Code of "Memory In Memory: A Predictive Neural Network for Learning Higher-Order Non-Stationarity from Spatiotemporal Dynamics"

Official implementation for NIPS'17 paper: PredRNN: Recurrent Neural Networks for Predictive Learning Using Spatiotemporal LSTMs.

Extremely Randomized Trees algorithm implementation in Python

Calculate the curvature of discrete points

高颜值的第三方网易云播放器，支持 Windows / macOS / Linux

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 pyht…

This is the PyTorch implementation of TPA-LSTM

A Comparison of LSTMs and Attention Mechanisms for Forecasting Financial Time Series

Implementation of Convolutional LSTM in PyTorch.

EddyNet: A Deep Neural Network For Pixel-Wise Classification of Oceanic Eddies