rakesh-yadav

AnalysisScripts-MagIC

Python scripts I made to analyse and visualize data from fluid dynamics simulation code MagIC

Informer2020

Informer2020-ETDataset

The Electricity Transformer dataset is collected to support the further investigation on the long sequence forecasting problem.

Informer2020-LongTSForcast

The GitHub repository for the paper "Informer" accepted by AAAI 2021.

ML_GeoDynamo

Machine learning scripts made for predicting properties of geodynamo simulations

Particle-Advection

Simulate particle advection in MagIC flow data using the Ocean Parcels package

PyTorch-RNN-Tutorial

PyTorch tutorial for using RNN and Encoder-Decoder RNN for time series forecasting

rakesh-yadav.github.io

Personal webpage for Rakesh Kumar Yadav

Rayleigh

Rayleigh: Pseudo-spectral MHD

transformer-time-series-prediction

proof of concept for a transformer-based time series prediction model

rakesh-yadav/PyTorch-RNN-Tutorial

PyTorch tutorial for using RNN and Encoder-Decoder RNN for time series forecasting

rakesh-yadav/AnalysisScripts-MagIC

Python scripts I made to analyse and visualize data from fluid dynamics simulation code MagIC

rakesh-yadav/Informer2020

rakesh-yadav/Informer2020-ETDataset

The Electricity Transformer dataset is collected to support the further investigation on the long sequence forecasting problem.

rakesh-yadav/Informer2020-LongTSForcast

The GitHub repository for the paper "Informer" accepted by AAAI 2021.

rakesh-yadav/ML_GeoDynamo

Machine learning scripts made for predicting properties of geodynamo simulations

rakesh-yadav/Particle-Advection

Simulate particle advection in MagIC flow data using the Ocean Parcels package

rakesh-yadav/rakesh-yadav.github.io

Personal webpage for Rakesh Kumar Yadav

rakesh-yadav/Rayleigh

Rayleigh: Pseudo-spectral MHD

rakesh-yadav/transformer-time-series-prediction

proof of concept for a transformer-based time series prediction model