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aa-forecast

Repository for the AA-Forecast paper ECML PKDD 2022

c2far_forecasting

This repository contains code for the paper: S Bergsma, T Zeyl, JR Anaraki, L Guo, C2FAR: Coarse-to-Fine Autoregressive Networks for Precise Probabilistic Forecasting, In NeurIPS'22

deepextrema-ijcai22

DeepExtreme

dxtremm_tsf

imbalanced-regression

Delving into Deep Imbalanced Regression

ltsf-linear

This is the official implementation for AAAI-23 Oral paper "Are Transformers Effective for Time Series Forecasting?"

necplus

NECPlus

openlongtailrecognition-oltr

Pytorch implementation for "Large-Scale Long-Tailed Recognition in an Open World" (CVPR 2019 ORAL)

ordinalentropy

patchtst

An offical implementation of PatchTST: "A Time Series is Worth 64 Words: Long-term Forecasting with Transformers." (ICLR 2023) https://arxiv.org/abs/2211.14730

ranksim-imbalanced-regression

[ICML 2022] RankSim: Ranking Similarity Regularization for Deep Imbalanced Regression

tpb

traffic clustering