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tsukasa619a's Projects

gru-d icon gru-d

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

informer2020 icon informer2020

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

lag-llama icon lag-llama

Lag-Llama: Towards Foundation Models for Probabilistic Time Series Forecasting

llama icon llama

Inference code for LLaMA models

m_mhw1.0 icon m_mhw1.0

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

mpas-model icon mpas-model

Repository for MPAS models and shared framework releases.

neuralforecast icon neuralforecast

Scalable and user friendly neural :brain: forecasting algorithms.

pypots icon 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

saits icon 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

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