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https://github.com/yaricom/timeserieslearning
The project aimed to implement Deep NN / RNN based solution in order to develop flexible methods that are able to adaptively fillin, backfill, and predict time-series using a large number of heterogeneous training datasets.
https://github.com/yaricom/timeserieslearning
adagrad adam-optimizer adamax deep-learning deep-neural-networks leaky-relu pca-analysis random-forest-regressor recurrent-neural-networks rmsprop rnn time-series
Last synced: about 15 hours ago
JSON representation
The project aimed to implement Deep NN / RNN based solution in order to develop flexible methods that are able to adaptively fillin, backfill, and predict time-series using a large number of heterogeneous training datasets.
- Host: GitHub
- URL: https://github.com/yaricom/timeserieslearning
- Owner: yaricom
- License: mit
- Created: 2016-08-12T15:10:18.000Z (about 8 years ago)
- Default Branch: master
- Last Pushed: 2016-08-16T07:12:38.000Z (about 8 years ago)
- Last Synced: 2023-03-01T10:05:58.012Z (over 1 year ago)
- Topics: adagrad, adam-optimizer, adamax, deep-learning, deep-neural-networks, leaky-relu, pca-analysis, random-forest-regressor, recurrent-neural-networks, rmsprop, rnn, time-series
- Language: Python
- Size: 30.9 MB
- Stars: 26
- Watchers: 5
- Forks: 9
- Open Issues: 0