itouchz / awesome-deep-time-series-representations
A curated list of state-of-the-art papers on deep learning for universal representations of time series.
☆134Updated 3 months ago
Related projects ⓘ
Alternatives and complementary repositories for awesome-deep-time-series-representations
- About Code release for "SimMTM: A Simple Pre-Training Framework for Masked Time-Series Modeling" (NeurIPS 2023 Spotlight), https://arxiv.…☆114Updated 6 months ago
- This is an official implementation code for paper "A Survey on Time-Series Pre-Trained Models" (TKDE-24).☆151Updated last month
- A professionally curated list of awesome resources (paper, code, data, etc.) on Self-Supervised Learning for Time Series (SSL4TS).☆283Updated 6 months ago
- Awesome Deep Learning for Time-Series Imputation, including a must-read paper list about applying neural networks to impute incomplete ti…☆210Updated 4 months ago
- FITS: Frequency Interpolation Time Series Analysis Baseline☆129Updated 3 months ago
- An up-to-date list of time-series related papers in AI venues.☆368Updated 5 months ago
- [VLDB 2024] A Multi-Scale Decomposition MLP-Mixer for Time Series Analysis☆78Updated 2 months ago
- Time Series Forecasting, Distribution Shift☆72Updated last year
- [NeurIPS 2024 Spotlight] Official repository of the CycleNet paper: "CycleNet: Enhancing Time Series Forecasting through Modeling Periodi…☆79Updated this week
- [ICML 2024 Oral] Official repository of the SparseTSF paper: "SparseTSF: Modeling Long-term Time Series Forecasting with 1k Parameters". …☆146Updated 2 weeks ago
- ☆122Updated last year
- This is an official implementation of "ModernTCN: A Modern Pure Convolution Structure for General Time Series Analysis" (ICLR 2024 Spotli…☆201Updated 7 months ago
- Pytorch implementation of NIPS'23 paper: Adaptive Normalization for Non-stationary Time Series Forecasting: A Temporal Slice Perspective☆75Updated 7 months ago
- RevIN: Reversible Instance Normalization For Accurate Time-series Forecasting Against Distribution Shift☆278Updated 2 months ago
- Open-Source Implementations of Large Time-Series Models☆94Updated this week
- Revisiting Long-term Time Series Forecasting: An Investigation on Linear Mapping☆68Updated last year
- Official code for "The Capacity and Robustness Trade-off: Revisiting the Channel Independent Strategy for Multivariate Time Series Foreca…☆55Updated 5 months ago
- Code release of paper "MICN: Multi-scale Local and Global Context Modeling for Long-term Series Forecasting" (ICLR 2023)☆102Updated last year
- Official implementation for "AutoTimes: Autoregressive Time Series Forecasters via Large Language Models"☆99Updated 2 weeks ago
- [NeurIPS 2023] The official repo for the paper: "Time Series as Images: Vision Transformer for Irregularly Sampled Time Series"."☆114Updated last year
- ☆79Updated 2 weeks ago
- PyTorch code for CoST: Contrastive Learning of Disentangled Seasonal-Trend Representations for Time Series Forecasting (ICLR 2022)☆219Updated last year
- MSGNet: Learning Multi-Scale Inter-Series Correlations for Multivariate Time Series Forecasting (AAAI2024)☆135Updated 9 months ago
- ☆144Updated 3 months ago
- ULTS: A unified and standardized library of unsupervised representation learning approaches for time series☆43Updated last year
- Official implement for "SOFTS: Efficient Multivariate Time Series Forecasting with Series-Core Fusion"(NeurIPS'24) in PyTorch.☆171Updated this week
- TimeMachine: A Time Series is Worth 4 Mambas for Long-term Forecasting☆158Updated 3 months ago
- A professional list of Papers, Tutorials, and Surveys on AI for Time Series in top AI conferences and journals.☆157Updated 2 years ago
- Reproduction of the paper "TEMPO: Prompt-based Generative Pre-trained Transformer for Time Series Forecasting"☆48Updated 10 months ago
- Code for paper titled "Learning Latent Seasonal-Trend Representations for Time Series Forecasting" in NeurIPS 2022☆73Updated 2 years ago