Lstm Neural Network For Time Series Prediction
LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Lstm Neural Network For Time Series Prediction | 4,220 | a year ago | 47 | agpl-3.0 | Python | |||||
| LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data | ||||||||||
| Equity | 1,216 | 10 months ago | 24 | |||||||
| Series Seed Preferred Stock | ||||||||||
| Test Stock Prediction Algorithms | 338 | 3 years ago | mit | Jupyter Notebook | ||||||
| Use deep learning, genetic programming and other methods to predict stock and market movements | ||||||||||
| Lstm_rnn_tutorials_with_demo | 268 | 5 years ago | 1 | Python | ||||||
| LSTM-RNN Tutorial with LSTM and RNN Tutorial with Demo with Demo Projects such as Stock/Bitcoin Time Series Prediction, Sentiment Analysis, Music Generation using Keras-Tensorflow | ||||||||||
| Trendet | 266 | 2 years ago | 7 | June 28, 2020 | 7 | mit | Python | |||
| :chart_with_upwards_trend: Python package for trend detection on stock time series data :chart_with_downwards_trend: | ||||||||||
| Warren | 214 | 9 months ago | gpl-3.0 | Jupyter Notebook | ||||||
| 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. | ||||||||||
| Reactive Stock Trader | 91 | 3 years ago | 33 | apache-2.0 | Java | |||||
| A reference architecture for stock trading to demonstrate the concepts of reactive systems development. Based on the original Stock Trader by IBM and implemented with Lagom by Lightbend. | ||||||||||
| Time Series Transformer | 44 | 3 years ago | 11 | January 11, 2021 | mit | Jupyter Notebook | ||||
| A data preprocessing package for time series data. Design for machine learning and deep learning. | ||||||||||
| Timeseries2dbarchartimagecnn | 28 | a year ago | Python | |||||||
| Conversion of the time series values to 2-D stock bar chart images and prediction using CNN (using Keras-Tensorflow) | ||||||||||
| Bovespaparser | 23 | 3 years ago | 2 | Python | ||||||
| Python parser for BM&F Bovespa Historical Series Files | ||||||||||
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Python
Keras
Series
Stock
Lstm