A code implementation of new papers in the time series forecasting field.
☆125Nov 3, 2023Updated 2 years ago
Alternatives and similar repositories for tsf-new-paper-taste
Users that are interested in tsf-new-paper-taste are comparing it to the libraries listed below
Sorting:
- About Code release for "PatchMixer: A Patch-Mixing Architecture for Long-Term Time Series Forecasting"☆213Jun 27, 2024Updated last year
- [IEEE IoT-J 2026] The official repository of the SegRNN paper: "Segment Recurrent Neural Network for Long-Term Time Series Forecasting." …☆140Feb 23, 2026Updated 3 weeks ago
- Official Implementation of TILDE-Q: A Transformation Invariant Loss Function for Time-Series Forecasting☆21Feb 11, 2025Updated last year
- [VLDB 2024] A Multi-Scale Decomposition MLP-Mixer for Time Series Analysis☆96Aug 26, 2024Updated last year
- An implementation of (Google）Long-term Time Series Forecasting with TiDE: Time-series Dense Encoder☆28Jun 15, 2023Updated 2 years ago
- PyTorch Implementation of "TSMixer: An All-MLP Architecture for Time Series Forecasting"☆35Oct 6, 2023Updated 2 years ago
- Resources about time series forecasting and deep learning.☆774Updated this week
- Source code of paper: Respecting Time Series Properties Makes Deep Time Series Forecasting Perfect☆12Jul 26, 2022Updated 3 years ago
- ☆21Jul 1, 2024Updated last year
- [AAAI-23 Oral] Official implementation of the paper "Are Transformers Effective for Time Series Forecasting?"☆2,432Jan 27, 2024Updated 2 years ago
- Official implement for "SOFTS: Efficient Multivariate Time Series Forecasting with Series-Core Fusion"(NeurIPS'24) in PyTorch.☆279Jul 7, 2025Updated 8 months ago
- ☆137Feb 7, 2023Updated 3 years ago
- ☆15May 9, 2024Updated last year
- Code release of paper "MICN: Multi-scale Local and Global Context Modeling for Long-term Series Forecasting" (ICLR 2023)☆128Feb 11, 2023Updated 3 years ago
- Official code for "The Capacity and Robustness Trade-off: Revisiting the Channel Independent Strategy for Multivariate Time Series Foreca…☆59Sep 3, 2025Updated 6 months ago
- Source code for Leveraging 2D Information for Long-term Time Series Forecasting with Vanilla Transformers☆18May 29, 2024Updated last year
- Pytorch implementation of NIPS'23 paper: Adaptive Normalization for Non-stationary Time Series Forecasting: A Temporal Slice Perspective☆129Mar 23, 2024Updated last year
- This repository contains a reading list of papers on Time Series Forecasting/Prediction (TSF) and Spatio-Temporal Forecasting/Prediction …☆3,100Jan 29, 2026Updated last month
- "Self-Supervised Contrastive Learning for Long-term Forecasting", accepted at International Conference on Learning Representations (ICLR)…☆80Mar 28, 2024Updated last year
- An offical implementation of PatchTST: "A Time Series is Worth 64 Words: Long-term Forecasting with Transformers." (ICLR 2023) https://ar…☆2,479Aug 12, 2024Updated last year
- FITS: Frequency Interpolation Time Series Analysis Baseline☆229Sep 2, 2025Updated 6 months ago
- The GitHub repository for the paper: “Time Series is a Special Sequence: Forecasting with Sample Convolution and Interaction“. (NeurIPS 2…☆667Jul 12, 2023Updated 2 years ago
- [IJCAI'24] Official code for our paper "Make Graph Neural Networks Great Again: A Generic Integration Paradigm of Topology-Free Patterns …☆14Jul 3, 2025Updated 8 months ago
- for the realization of TDformer in the paper "First De-Trend then Attend: Rethinking Attention for Time-Series Forecasting", thank you ve…☆37Apr 17, 2023Updated 2 years ago
- LSTM-VAE for Time Series Anomaly Detection☆10Feb 21, 2021Updated 5 years ago
- About Code release for "FECAM: Frequency Enhanced Channel Attention Mechanism for Time Series Forecasting" ⌚☆154Sep 9, 2023Updated 2 years ago
- A Library for Advanced Deep Time Series Models for General Time Series Analysis.☆11,787Updated this week
- MTS-Mixers: Multivariate Time Series Forecasting via Factorized Temporal and Channel Mixing☆243Jul 21, 2025Updated 7 months ago
- ☆16Jan 20, 2025Updated last year
- ☆12Oct 8, 2022Updated 3 years ago
- ☆12Jun 11, 2024Updated last year
- ☆26Jun 16, 2025Updated 9 months ago
- ☆31Nov 30, 2022Updated 3 years ago
- Official implementation of ECML PKDD'24 paper 'Self-Supervised Spatial-Temporal Normality Learning for Time Series Anomaly Detection'.☆18Aug 17, 2024Updated last year
- Code release for "Non-stationary Transformers: Exploring the Stationarity in Time Series Forecasting" (NeurIPS 2022), https://arxiv.org/a…☆557Aug 19, 2024Updated last year
- ☆12Apr 19, 2024Updated last year
- [CIKM 2023] MemDA: Forecasting Urban Time Series with Memory-based Drift Adaptation☆25Nov 25, 2023Updated 2 years ago
- ☆15May 23, 2025Updated 9 months ago
- Probabilistic Forecast of a Multivariate Time Series using the Temporal Fusion Transformer & PyTorch Lightning☆18Jan 30, 2023Updated 3 years ago