Welcome to Timer - Universal Time Series Analysis
Timer originated from the School of Software at Tsinghua University, and was developed for the field of time series analysis by constructing large-scale time series datasets and pre training formats. By training on a large dataset, Timer exhibits few sample generalization and multi task adaptation capabilities, with considerable temporal analysis and data generation capabilities for real-world scenarios. It has the following characteristics:
- Generalization: Achieving cutting-edge deep model prediction performance based on small sample fine-tuning.
- Universality: Suitable for multiple tasks, supports variable input-output length.
- Scalability: The model achieves improved performance as the number of parameters or pre training scale increases.
Large High-quality Dataset
In pursuit of preeminent analytical prowess within the industry, we have constructed a vast dataset that harmoniously integrates extensive scale, superior quality, and multifaceted domains. This endeavor has endowed Timer with a large repository of high-caliber data, thereby conferring upon it a strong generalization capability across a multitude of tasks.
Model Scalability
Large Model Analysis Scheme
Based on the capabilities of our model, we can construct a complete large-scale model solution. These solutions enable you to access our advanced analysis services for large models through various methods, including online API access, platform based calls, and even customized private deployment options.
The front-end API, which is designed for online invocation, is on the cusp of being launched!
scenarios
Timer offers a suite of services designed to help businesses and researchers unlock the full potential of their time series data. Our Timer model is pre-trained on vast datasets and fine-tuned for specific tasks, providing a tool for applications.
Forecasting
The prediction modeling of time series is the core of Timer function. Our service can provide predictions for time-series data such as industrial production and natural environment.
Data Imputation
Eliminate the headaches of missing data. Timer fills in the gaps, ensuring continuity and integrity in your time series datasets.
Anomaly Detection
We provide anomaly detection capabilities based on autoregressive analysis, and Timer will provide real-time alerts for possible abnormal data.
Unified Generative Framework
Our services operate under a unified generative approach, streamlining complex tasks for diverse applications and domains.
Showcases
Timer boasts an exceptional generalization capacity, adeptly accommodating a myriad of authentic time series datasets from diverse sectors and scenarios. It consistently delivers superior performance across a spectrum of tasks, showcasing its robust adaptability and efficacy. The following demonstration illustrates the tangible prowess of Timer when applied to a variety of data sets.
The following visualization results are all from fine-tuning results under extremely low sample usage rates.
- All
- Forecast
- Imputation
- Detection
Contact Us
Our model capabilities are rapidly iterating as research progresses. If you are interested, please contact us proactively.