telemanom
A framework for using LSTMs to detect anomalies in multivariate time series data. Includes spacecraft anomaly data and experiments from the Mars Science Laboratory and SMAP missions. (by khundman)
stock-prediction-deep-neural-learning
Predicting stock prices using a TensorFlow LSTM (long short-term memory) neural network for times series forecasting (by JordiCorbilla)
| telemanom | stock-prediction-deep-neural-learning | |
|---|---|---|
| 14 | 44 | |
| 950 | 432 | |
| - | - | |
| 0.0 | 7.1 | |
| over 1 year ago | 4 months ago | |
| Jupyter Notebook | Jupyter Notebook | |
| GNU General Public License v3.0 or later | Creative Commons Zero v1.0 Universal |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
telemanom
Posts with mentions or reviews of telemanom.
We have used some of these posts to build our list of alternatives
and similar projects.
stock-prediction-deep-neural-learning
Posts with mentions or reviews of stock-prediction-deep-neural-learning.
We have used some of these posts to build our list of alternatives
and similar projects.
What are some alternatives?
When comparing telemanom and stock-prediction-deep-neural-learning you can also consider the following projects:
LSTM-Human-Activity-Recognition - Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activity categories - Guillaume Chevalier
mplfinance - Financial Markets Data Visualization using Matplotlib
TSAI-DeepNLP-END2.0
bulbea - :boar: :bear: Deep Learning based Python Library for Stock Market Prediction and Modelling