https://github.com/timetoai/timediffusion_forecasting
Research Project on time-series forecasting
https://github.com/timetoai/timediffusion_forecasting
data-science deep-learning machine-learning pytorch time-series time-series-forecasting
Last synced: 4 months ago
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Research Project on time-series forecasting
- Host: GitHub
- URL: https://github.com/timetoai/timediffusion_forecasting
- Owner: timetoai
- Created: 2023-01-10T08:57:56.000Z (over 3 years ago)
- Default Branch: main
- Last Pushed: 2023-05-27T08:45:28.000Z (about 3 years ago)
- Last Synced: 2025-06-24T10:08:05.516Z (about 1 year ago)
- Topics: data-science, deep-learning, machine-learning, pytorch, time-series, time-series-forecasting
- Language: Jupyter Notebook
- Homepage:
- Size: 721 KB
- Stars: 6
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# TimeDiffusion model for forecasting
Diffusion based temporal convolutional model for time-series forecasting. Main focus on long term time-series forecasting.
**Project structure**
* [utils](./utils)
* [utils/dl.py](./utils/dl.py) - time-series deep learning models in pytorch with some decorators for training / inference
* [utils/data.py](./utils/data.py) - functions for datasets processing
* [utils/timediffusion.py](./utils/timediffusion.py) - TimeDiffusion model class
* [results](./results) - folder with csv results files of model evaluation on different datasets
* [eval_{```MODEL_NAME```}.py]() - python script for full evaluation pipeline on chosen dataset for ```MODEL_NAME```
* [TimeDIffussion_exchange_rate_tests.ipynb](./TimeDIffussion_exchange_rate_tests.ipynb) - visualizations of the forecasts
* [TD_vis.ipynb](./TD_vis.ipynb) - different visualizations