☆139Mar 4, 2026Updated 7 months ago
Alternatives and similar repositories for TimeMAE
Users that are interested in TimeMAE are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆29Nov 6, 2024Updated last year
- ☆71Oct 7, 2025Updated last year
- Unofficial implementation of Ti-MAE in PyTorch Lightning.☆14Aug 15, 2024Updated 2 years ago
- ☆22Dec 12, 2024Updated last year
- Self-supervised contrastive learning for time series via time-frequency consistency☆533May 7, 2024Updated 2 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- unofficial implementation of https://arxiv.org/pdf/2301.08871v1.pdf on pytorch☆16Apr 20, 2023Updated 3 years ago
- Source code of FDNet: Focal Decomposed Network for Efficient, Robust and Practical Time Series Forecasting☆14Mar 6, 2024Updated 2 years ago
- ☆43Jun 11, 2024Updated 2 years ago
- [IJCAI-21] "Time-Series Representation Learning via Temporal and Contextual Contrasting"☆499Mar 31, 2024Updated 2 years ago
- About Code release for "SimMTM: A Simple Pre-Training Framework for Masked Time-Series Modeling" (NeurIPS 2023 Spotlight), https://arxiv.…☆162May 6, 2024Updated 2 years ago
- A professionally curated list of awesome resources (paper, code, data, etc.) on Self-Supervised Learning for Time Series (SSL4TS).☆386Apr 28, 2024Updated 2 years ago
- The official implementation for our TNNLS paper "Self-Supervised Time Series Representation Learning via Cross Reconstruction Transformer…☆51Aug 6, 2023Updated 3 years ago
- CoGenCast: A Coupled Autoregressive–Flow Generative Framework for Time Series Forecasting☆11May 31, 2026Updated 4 months ago
- TSDE is a novel SSL framework for TSRL, the first of its kind, effectively harnessing a diffusion process, conditioned on an innovative d…☆64Aug 29, 2024Updated 2 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- A universal time series representation learning framework☆882Jul 29, 2024Updated 2 years ago
- This is code for Amortized Predictability-aware Training Framework for Time Series Forecasting and Classification (APTF, WWW 2026), enabl…☆12Mar 11, 2026Updated 7 months ago
- [TPAMI 2023] Self-supervised Contrastive Representation Learning for Semi-supervised Time-Series Classification☆168May 22, 2024Updated 2 years ago
- MSGNet: Learning Multi-Scale Inter-Series Correlations for Multivariate Time Series Forecasting (AAAI2024)☆224Feb 11, 2024Updated 2 years ago
- ☆41Nov 20, 2023Updated 2 years ago
- "Self-Supervised Contrastive Learning for Long-term Forecasting", accepted at International Conference on Learning Representations (ICLR)…☆80Mar 28, 2024Updated 2 years ago
- Pytorch implementation of NIPS'23 paper: Adaptive Normalization for Non-stationary Time Series Forecasting: A Temporal Slice Perspective☆136Mar 23, 2024Updated 2 years ago
- ☆48May 29, 2023Updated 3 years ago
- ☆10Feb 21, 2023Updated 3 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- ☆19Sep 4, 2023Updated 3 years ago
- PyTorch code for ETSformer: Exponential Smoothing Transformers for Time-series Forecasting☆311Jun 25, 2026Updated 4 months ago
- ☆10Jun 10, 2023Updated 3 years ago
- Code release for "Koopa: Learning Non-stationary Time Series Dynamics with Koopman Predictors" (NeurIPS 2023), https://arxiv.org/abs/2305…☆243Jul 1, 2024Updated 2 years ago
- PyTorch code for CoST: Contrastive Learning of Disentangled Seasonal-Trend Representations for Time Series Forecasting (ICLR 2022)☆239Jun 25, 2026Updated 4 months ago
- Official implementation of the paper "Frequency-domain MLPs are More Effective Learners in Time Series Forecasting"☆200Mar 26, 2024Updated 2 years ago
- The implementation of "TimesURL: Self-supervised Contrastive Learning for Universal Time Series Representation Learning"☆107May 13, 2024Updated 2 years ago
- Official implementations of "Frequency-masked Embedding Inference: A Non-Contrastive Approach for Time Series Representation Learning (AA…☆22Apr 10, 2026Updated 6 months ago
- This is an official implementation code for paper "A Survey on Time-Series Pre-Trained Models" (TKDE-24).☆230Oct 7, 2024Updated 2 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- ☆93May 3, 2024Updated 2 years ago
- Official implementation of the paper "Towards Multi-resolution Spatiotemporal Graph Learning for Medical Time Series Classification".☆32Mar 11, 2026Updated 7 months ago
- Source code of paper: GBT: Two-stage Transformer Framework for Non-stationary Time Series Forecasting.☆42Mar 6, 2024Updated 2 years ago
- [ICML 2025] Official PyTorch implementation of the paper: 🎯 TimeDART: A Diffusion Autoregressive Transformer for Self-Supervised Time S…☆159Dec 17, 2025Updated 10 months ago
- Code release of paper "MICN: Multi-scale Local and Global Context Modeling for Long-term Series Forecasting" (ICLR 2023)☆131Feb 11, 2023Updated 3 years ago
- ☆29Apr 24, 2025Updated last year
- Time Series Contrastive Learning with Information-Aware Augmentations (Code)☆24Mar 21, 2023Updated 3 years ago