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NeuralProphet: A simple forecasting package
Created
2020-05-04
1,464 commits to main branch, last one 3 months ago
[AAAI-23 Oral] Official implementation of the paper "Are Transformers Effective for Time Series Forecasting?"
Created
2022-05-26
58 commits to main branch, last one 10 months ago
Programs for stock prediction and evaluation
Created
2018-11-13
78 commits to master branch, last one 11 days ago
Web app to predict closing stock prices in real time using Facebook's Prophet time series algorithm with a multi-variate, single-step time series forecasting strategy.
Created
2019-04-02
130 commits to main branch, last one about a year ago
PyTorch code for CoST: Contrastive Learning of Disentangled Seasonal-Trend Representations for Time Series Forecasting (ICLR 2022)
Created
2022-02-15
13 commits to main branch, last one 2 years ago
About Code release for "FECAM: Frequency Enhanced Channel Attention Mechanism for Time Series Forecasting" ⌚
Created
2022-12-01
76 commits to main branch, last one about a year ago
COVID-19 infectious forecasting using SEIR model and R0 estimation
Created
2019-10-08
97 commits to master branch, last one 3 years ago
This MVP data web app uses the Streamlit framework and Facebook's Prophet forecasting package to generate a dynamic forecast from your own data.
Created
2020-05-18
36 commits to master branch, last one 2 years ago