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GitHub / kaelzhang / DA-RNN-in-Tensorflow-2-and-PyTorch

A Tensorflow 2 (Keras) implementation of DA-RNN (A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction, arXiv:1704.02971)

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/kaelzhang%2FDA-RNN-in-Tensorflow-2-and-PyTorch

Stars: 32
Forks: 11
Open issues: 5

License: mit
Language: Jupyter Notebook
Size: 7.97 MB
Dependencies parsed at: Pending

Created at: about 4 years ago
Updated at: 19 days ago
Pushed at: 12 months ago
Last synced at: 5 days ago

Commit Stats

Commits: 45
Authors: 2
Mean commits per author: 22.5
Development Distribution Score: 0.022
More commit stats: https://commits.ecosyste.ms/hosts/GitHub/repositories/kaelzhang/DA-RNN-in-Tensorflow-2-and-PyTorch

Topics: attention, attention-lstm, deep-learning, pytorch, rnn, tensorflow, tensorflow2, time-series-prediction

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