Anomaly_Detection_Tuto
Anomaly detection tutorial on univariate time series with an auto-encoder (by JulienAu)
QuantumVariationalRewinding
Covalent demonstration of the QVR algorithm using a cryptocurrency time series use case (by AgnostiqHQ)
Anomaly_Detection_Tuto | QuantumVariationalRewinding | |
---|---|---|
2 | 1 | |
182 | 17 | |
- | - | |
0.0 | 0.0 | |
about 3 years ago | 7 months ago | |
Jupyter Notebook | Jupyter Notebook | |
- | - |
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.
Anomaly_Detection_Tuto
Posts with mentions or reviews of Anomaly_Detection_Tuto.
We have used some of these posts to build our list of alternatives
and similar projects.
QuantumVariationalRewinding
Posts with mentions or reviews of QuantumVariationalRewinding.
We have used some of these posts to build our list of alternatives
and similar projects.
What are some alternatives?
When comparing Anomaly_Detection_Tuto and QuantumVariationalRewinding you can also consider the following projects:
alibi-detect - Algorithms for outlier, adversarial and drift detection
tsfresh - Automatic extraction of relevant features from time series:
bitcoin_price_prediction - This project tries to prediction the bitcoin price with machine and deep learning.