demo-fraud-detection-with-p2p
Exploring Neo4j and Graph Data Science for Fraud Detection (by neo4j-product-examples)
TensorFlow-Examples
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2) (by aymericdamien)
demo-fraud-detection-with-p2p | TensorFlow-Examples | |
---|---|---|
1 | 2 | |
61 | 43,247 | |
- | - | |
5.5 | 0.0 | |
11 months ago | 4 months ago | |
Jupyter Notebook | Jupyter Notebook | |
Apache License 2.0 | GNU General Public License v3.0 or later |
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.
demo-fraud-detection-with-p2p
Posts with mentions or reviews of demo-fraud-detection-with-p2p.
We have used some of these posts to build our list of alternatives
and similar projects.
TensorFlow-Examples
Posts with mentions or reviews of TensorFlow-Examples.
We have used some of these posts to build our list of alternatives
and similar projects.
-
Keras vs. TensorFlow
A linear regression model
-
Tensorman and RTX 30-Series GPU's
When I run this simple project, the log output is below. There is a 5-minute pause at 16:48. There is a second pause at the end of the script before the output of the example (final output excluded). This project runs quickly if I exclude "--gpu" and run it on the CPU.