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awesome-deep-time-series-representations

A curated list of state-of-the-art papers on deep learning for universal representations of time series.

awesome-lwms

🌍 A Collection of Awesome Large Weather Models (LWMs) | AI for Earth (AI4E) | AI for Science (AI4S)

basisformer

This is the pytorch implementation of Basisformer in the Neurips paper: [BasisFormer: Attention-based Time Series Forecasting with Learnable and Interpretable Basis]

clip

CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

convnext

Code release for ConvNeXt model

crossformer

Official implementation of our ICLR 2023 paper "Crossformer: Transformer Utilizing Cross-Dimension Dependency for Multivariate Time Series Forecasting"

dall-e

PyTorch package for the discrete VAE used for DALL·E.

deepglo

This repository contains code for the paper: https://arxiv.org/abs/1905.03806. It also contains scripts to reproduce the results in the paper.

deeptime

PyTorch code for Learning Deep Time-index Models for Time Series Forecasting (ICML 2023)

efficientsam

EfficientSAM: Leveraged Masked Image Pretraining for Efficient Segment Anything

exp-trmf-nips16

Experimental Codes for Temporal Regularized Matrix Factoriztion for High-dimensional Time Series Prediction.

film

Source code of NeurIPS'22 paper: FiLM: Frequency improved Legendre Memory Model for Long-term Time Series Forecasting

flowformer

About Code release for "Flowformer: Linearizing Transformers with Conservation Flows" (ICML 2022), https://arxiv.org/pdf/2202.06258.pdf

frets

Official implementation of the paper "Frequency-domain MLPs are More Effective Learners in Time Series Forecasting"

gluon-cv

Gluon CV Toolkit

gluonts

Probabilistic time series modeling in Python

gpt-2

Code for the paper "Language Models are Unsupervised Multitask Learners"

informer2020

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

itransformer

Official implementation for "iTransformer: Inverted Transformers Are Effective for Time Series Forecasting".

lmu

Keras implementation of Legendre Memory Units

logtran

Enhancing the Locality and Breaking the Memory Bottleneck of Transformer on Time Series Forecasting (NeurIPS 2019)

lstnet

ltsf-linear

[AAAI-23 Oral] Official implementation of the paper "Are Transformers Effective for Time Series Forecasting?"

mamba

micn

Code release of paper "MICN: Multi-scale Local and Global Context Modeling for Long-term Series Forecasting" (ICLR 2023)

minbpe

Minimal, clean code for the Byte Pair Encoding (BPE) algorithm commonly used in LLM tokenization.

mixup-cifar10

mixup: Beyond Empirical Risk Minimization

mtgnn

neural_prophet

NeuralProphet: A simple forecasting package

ng-video-lecture