- 📊 Curated List of Awesome Time Series Papers – Open Source Resource on GitHub https://github.com/hushuguo/awesome-time-series-papers 9 comments deeplearning
Linked pages
- Build new skills. Advance your career. | edX https://edx.org 698 comments
- MIT OpenCourseWare | Free Online Course Materials https://ocw.mit.edu/ 522 comments
- Coursera | Degrees, Certificates, & Free Online Courses https://coursera.org 202 comments
- Learn the Latest Tech Skills; Advance Your Career | Udacity https://www.udacity.com 159 comments
- GitHub - google-research/timesfm: TimesFM (Time Series Foundation Model) is a pretrained time-series foundation model developed by Google Research for time-series forecasting. https://github.com/google-research/timesfm 118 comments
- GitHub Star History https://star-history.com/#microsoft/playwright&cypress-io/cypress&Date 78 comments
- GitHub - jdb78/pytorch-forecasting: Time series forecasting with PyTorch https://github.com/jdb78/pytorch-forecasting 22 comments
- [2406.16964] Are Language Models Actually Useful for Time Series Forecasting? https://arxiv.org/abs/2406.16964 7 comments
- https://github.com/user/repo 4 comments
- GitHub - imperial-qore/TranAD: [VLDB'22] Anomaly Detection using Transformers, self-conditioning and adversarial training. https://github.com/imperial-qore/TranAD 2 comments
- [2310.10688] A decoder-only foundation model for time-series forecasting https://arxiv.org/abs/2310.10688 1 comment
- [2402.02592] Unified Training of Universal Time Series Forecasting Transformers https://arxiv.org/abs/2402.02592 1 comment
- GitHub - AIStream-Peelout/flow-forecast: Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting). https://github.com/AIStream-Peelout/flow-forecast 0 comments
- GitHub - SalesforceAIResearch/uni2ts: Unified Training of Universal Time Series Forecasting Transformers https://github.com/SalesforceAIResearch/uni2ts 0 comments
- [2401.03955] Tiny Time Mixers (TTMs): Fast Pre-trained Models for Enhanced Zero/Few-Shot Forecasting of Multivariate Time Series https://arxiv.org/abs/2401.03955 0 comments
- [2408.10006] Unlocking the Power of LSTM for Long Term Time Series Forecasting https://arxiv.org/abs/2408.10006 0 comments