manohar029/TimeSeries-Seq2Seq-deepLSTMs-Keras
This project aims to give you an introduction to how Seq2Seq based encoder-decoder neural network architectures can be applied on time series data to make forecasts. The code is implemented in pyhton with Keras (Tensorflow backend).
Jupyter Notebook
Stargazers
- AlexandreWarembourg
- alexbrillantQuébec, Canada
- antohNairobi,Kenya
- asif-nuaaNanjing University of Aeronautics and Astronautics
- BeingsXOD
- blazingphoenix13Delhi
- carlosevi94Sevilla
- chahatrajGeorge Mason University
- chenwangqiang
- CxwLoveHc
- dan-r95Dresden, Germany
- dgo2dance
- DICPZhou
- dobrosketchkun
- fengzhengyuan97
- fifi-banana
- Fresnel-kShanghai
- gizemayydinNijmegen
- heidihello
- hjblearning
- hjian42MIT
- hmsept
- junhannah
- kedar123proNew York University
- KenanWu
- koi-boy
- nerajbobraSan Francisco
- ritik2209Simply Business
- susululu
- Tom-900The Chinese University of Hong Kong (CUHK)
- tuxmania87
- WinionM
- xinxu9527
- YU-Anthony@Moloco
- zecooWuhan University
- zhanke97Shanghai Jiao Tong University