☆18Sep 4, 2023Updated 2 years ago
Alternatives and similar repositories for Floss
Users that are interested in Floss are comparing it to the libraries listed below
Sorting:
- CIKM'24: Channel-Aware Low-Rank Adaptation for Long-term Series Forecasting☆15May 3, 2025Updated 9 months ago
- Segment, Shuffle, and Stitch: A Simple Mechanism for Improving Time-Series Representations☆30Oct 26, 2024Updated last year
- ☆70Oct 7, 2025Updated 4 months ago
- PyTorch implementation of "Rethinking the Power of Timestamps for Robust Time Series Forecasting: A Global-Local Fusion Perspective" (Neu…☆132Jul 15, 2025Updated 7 months ago
- [ICLR 2024] Official code of RobustTSF☆21Feb 21, 2024Updated 2 years ago
- The code for TFPS☆63Nov 8, 2024Updated last year
- [ICDE 2025] Official implementation of "Efficient Multivariate Time Series Forecasting via Calibrated Language Models with Privileged Kno…☆25Jun 27, 2025Updated 8 months ago
- MEAformer: An all-MLP Transformer with Temporal External Attention for Long-term Time Series Forecasting☆14Apr 27, 2024Updated last year
- ☆12Apr 19, 2024Updated last year
- Official implementation of the paper "Towards Multi-resolution Spatiotemporal Graph Learning for Medical Time Series Classification".☆29Jan 29, 2025Updated last year
- ForecastGrapher: Redefining Multivariate Time Series Forecasting with Graph Neural Networks☆32Jun 14, 2024Updated last year
- An unofficial, simple pytorch implementation of the paper "C-Mamba: Channel Correlation Enhanced State Space Models for Multivariate Time…☆18Jul 19, 2024Updated last year
- The official implementation of "FreqMoE: Enhancing Time Series Forecasting through Frequency Decomposition Mixture of Experts"☆45Mar 17, 2025Updated 11 months ago
- ☆17Jul 30, 2025Updated 7 months ago
- ☆26Feb 28, 2025Updated last year
- Official code for ICML 2024 paper "An Unsupervised Approach for Periodic Source Detection in Time Series"☆13Feb 21, 2025Updated last year
- Official Implementation of "From Similarity to Superiority: Channel Clustering for Time Series Forecasting"☆78Oct 30, 2024Updated last year
- [ICML 2025] Official implementation of "AdaPTS: Adapting Univariate Foundation Models to Probabilistic Multivariate Time Series Forecasti…☆48Jan 13, 2026Updated last month
- ☆38Dec 25, 2024Updated last year
- [ICML 2025] Official PyTorch implementation of the paper: 🎯 TimeDART: A Diffusion Autoregressive Transformer for Self-Supervised Time S…☆137Dec 17, 2025Updated 2 months ago
- ☆123Nov 6, 2024Updated last year
- Official implementation for "AutoTimes: Autoregressive Time Series Forecasters via Large Language Models"☆257Jul 22, 2025Updated 7 months ago
- Code for paper <Evolving Multi-Scale Normalization for Time Series Forecasting Under Distribution Shifts>☆14Jan 3, 2025Updated last year
- [NeurIPS 2024] The repository for experiment codes for the paper: Scaling Law for Time Series Forecasting.☆20Oct 23, 2024Updated last year
- ☆40Feb 4, 2026Updated 3 weeks ago
- Official Code for "CMamba: Channel Correlation Enhanced State Space Models for Multivariate Time Series Forecasting"☆46Jan 6, 2025Updated last year
- A Foundation Model for Battery Discharge Capacity Degradation Forecasting☆14Jan 7, 2026Updated last month
- Source code of FDNet: Focal Decomposed Network for Efficient, Robust and Practical Time Series Forecasting☆14Mar 6, 2024Updated last year
- Codes for "Retrieval-Augmented Diffusion Models for Time Series Forecasting"☆81Oct 29, 2024Updated last year
- ☆44Jun 11, 2024Updated last year
- Official implementation of the paper "Amplifier: Bringing Attention to Neglected Low-Energy Components in Time Series Forecasting".☆29Jan 30, 2025Updated last year
- ☆20Nov 26, 2024Updated last year
- DBPM is a simple algorithm designed as a lightweight plug-in without learnable parameters to enhance the performance of time series contr…☆17Mar 8, 2024Updated last year
- ☆22Dec 12, 2024Updated last year
- ☆34Jun 19, 2025Updated 8 months ago
- Official repository for "TimePFN: Effective Multivariate Time Series Forecasting with Synthetic Data" (AAAI 2025).☆26Jul 29, 2025Updated 7 months ago
- [ICLR 2024] STanHop: Sparse Tandem Hopfield Model for Memory-Enhanced Time Series Prediction☆25Jan 18, 2024Updated 2 years ago
- The official implementation of LIFT (ICLR'24). Rethinking Channel Dependence for Multivariate Time Series Forecasting: Learning from Lead…☆90Oct 28, 2024Updated last year
- Revisiting Long-term Time Series Forecasting: An Investigation on Linear Mapping☆93Sep 13, 2023Updated 2 years ago