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https://github.com/aistream-peelout/flow_tutorials
Public tutorials of using Flow Forecast for forecasting and classifying time series data
https://github.com/aistream-peelout/flow_tutorials
deep-learning forecasting time-series transformers
Last synced: 4 days ago
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Public tutorials of using Flow Forecast for forecasting and classifying time series data
- Host: GitHub
- URL: https://github.com/aistream-peelout/flow_tutorials
- Owner: AIStream-Peelout
- Created: 2021-10-17T04:55:59.000Z (about 3 years ago)
- Default Branch: master
- Last Pushed: 2024-05-05T19:26:25.000Z (7 months ago)
- Last Synced: 2024-05-05T20:30:19.680Z (7 months ago)
- Topics: deep-learning, forecasting, time-series, transformers
- Language: Jupyter Notebook
- Homepage:
- Size: 1.04 MB
- Stars: 38
- Watchers: 2
- Forks: 8
- Open Issues: 1
-
Metadata Files:
- Readme: readme.md
Awesome Lists containing this project
README
# Flow Forecast Tutorials
Public tutorials of using [Flow Forecast, the original deep learning for time series forecasting framework to forecast and classify time series data](https://github.com/AIStream-Peelout/flow-forecast).
[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/AIStream-Peelout/flow_tutorials)
[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/AIStream-Peelout/flow_tutorials/master)## Notebooks
### Rivers Flow
[Big Black River Forecast Linear](https://www.kaggle.com/code/isaacmg/big-black-forecasing-with-linear-model)
[Big Black River Forecast Informer](https://www.kaggle.com/code/isaacmg/pytorch-time-series-forecasting-with-the-informer)
[I-Transformer](https://www.kaggle.com/code/isaacmg/fork-of-i-transformer-v)
[Decoder Transformer Virgin](https://github.com/AIStream-Peelout/flow_tutorials/blob/master/river/Decoder_Transformer_Virgin.ipynb)
[Anomaly Detection Virgin](https://github.com/AIStream-Peelout/flow_tutorials/blob/master/river/Anomaly_Detection_Flow_2.ipynb)
### COVID-19 Notebooks
[DA-RNN on COVID-19 + Mobility Data](https://github.com/AIStream-Peelout/flow_tutorials/blob/master/covid/DA_Training_COVID.ipynb)
[DA-RNN+ COVID Vaccination](https://github.com/AIStream-Peelout/flow_tutorials/blob/master/covid/DA_RNN_COVID_VAX.ipynb)
[Decoder-Transformer + MASE Loss function](https://github.com/AIStream-Peelout/flow_tutorials/blob/master/covid/MASE_COVID_Abbriv.ipynb)
### Other
### Crypto-Forecasting
[Crypto Prices Forecasting with Informer](https://www.kaggle.com/code/isaacmg/forecasting-crypto-prices-with-the-informer)### Avocado Price Forecasting
[DA-RNN](https://www.kaggle.com/code/isaacmg/avocado-price-forecasting-with-flow-forecast-ff)[Probablistic GRU](https://www.kaggle.com/code/isaacmg/probablistic-gru-avocado-price-forecast)
[Multi-Region Transformer](https://www.kaggle.com/code/isaacmg/multi-region-transformer)