Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).

Used different Transformer based and LSTM based models for forecasting rainfall in different areas of Mumbai. Employed different smart training techniques to improve correlation with the true time-…

EA-LSTM&LSTM with runoff data as benchmark for RR-Former&RRS-Former

RR-Former&RRS-Former

we attempt to reproduce the results from the paper “Rainfall–runoff modelling using Long Short-Term Memory (LSTM) networks”.

Rainfall Prediction or Rainfall Forecasting via machine learning, such as SVR, LSTM, MLP, Seq2Seq, GBRT and XGBoost

[NeurIPS 2022]RainNet: A Large-Scale Imagery Dataset and Benchmark for Spatial Precipitation Downscaling

a GAN for precipitation downscaling

Code for the DASFAA 2023 paper "Rainfall Spatial Interpolation with Graph Neural Networks".

Code for the SIGMOD 2023 paper "SSIN: Self-Supervised Learning for Rainfall Spatial Interpolation".

State-of-the-art methods for human trajectory forecasting. Contains code for papers published at ECCV 2020 and ICCV 2021.

Human Trajectory Prediction Dataset Benchmark (ACCV 2020)

The Annotation files of Stanford Drone Dataset