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cnn-lstm-bilstm-deepcnn-clstm-in-pytorch

In PyTorch Learing Neural Networks Likes CNN、BiLSTM

convolutional_lstm_pytorch

Multi-layer convolutional LSTM with Pytorch

e2egan

gru-d

Gated Recurrent Unit with a Decay mechanism for Multivariate Time Series with Missing Values

informer2020

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

llama

Inference code for LLaMA models

m_mhw1.0

A MATLAB toolbox to detect and analyze marine heatwaves (MHWs).

mpas-model

Repository for MPAS models and shared framework releases.

multivariate-time-series-imputation-with-generative-adversarial-networks

NIPS2018 paper

pangu-weather

An official implementation of Pangu-Weather

precipitation-nowcasting

pytorch implemention of trajGRU.

pypots

A Python toolbox/library for reality-centric machine/deep learning and data mining on partially-observed time series with PyTorch, including SOTA neural network models for science analysis tasks of imputation, classification, clustering, forecasting & anomaly detection on incomplete (irregularly-sampled) multivariate TS with NaN missing values

pytorch-seq2seq

An open source framework for seq2seq models in PyTorch.

saits

The official PyTorch implementation of the paper "SAITS: Self-Attention-based Imputation for Time Series". A fast and state-of-the-art (SOTA) deep-learning neural network model for efficient time-series imputation (impute multivariate incomplete time series containing NaN missing data/values with machine learning). https://arxiv.org/abs/2202.08516

time-series-library

A Library for Advanced Deep Time Series Models.