DeepTraffic | Deep Learning models for network traffic classification | Machine Learning library

by echowei Python Version: Current License: MPL-2.0

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | DeepTraffic Summary

DeepTraffic is a Python library typically used in Artificial Intelligence, Machine Learning, Deep Learning, Pytorch, Tensorflow, Keras applications. DeepTraffic has no bugs, it has no vulnerabilities, it has a Weak Copyleft License and it has low support. However DeepTraffic build file is not available. You can download it from GitHub.

Deep Learning models for network traffic classification

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DeepTraffic has a low active ecosystem.

It has 559 star(s) with 287 fork(s). There are 16 watchers for this library.

It had no major release in the last 6 months.

There are 6 open issues and 19 have been closed. On average issues are closed in 128 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of DeepTraffic is current.

Quality

DeepTraffic has no bugs reported.

Security

DeepTraffic has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

DeepTraffic is licensed under the MPL-2.0 License. This license is Weak Copyleft.

Weak Copyleft licenses have some restrictions, but you can use them in commercial projects.

Reuse

DeepTraffic releases are not available. You will need to build from source code and install.

DeepTraffic has no build file. You will be need to create the build yourself to build the component from source.

Top functions reviewed by kandi - BETA

kandi has reviewed DeepTraffic and discovered the below as its top functions. This is intended to give you an instant insight into DeepTraffic implemented functionality, and help decide if they suit your requirements.

Create a byte block block .
Generate mini batches of mini batches .
Get a matrix from a pcap file .
Create a new directory .
Return the index of an element in a list .
Updates the confusion matrix .
Truncates a function f to a string .
Binarize a tensor .
Binarize outshape .

Get all kandi verified functions for this library.

DeepTraffic Key Features

No Key Features are available at this moment for DeepTraffic.

DeepTraffic Examples and Code Snippets

No Code Snippets are available at this moment for DeepTraffic.

Community Discussions

Trending Discussions on DeepTraffic

Reward Function in MIT Deep Traffic Challenge?

QUESTION

Reward Function in MIT Deep Traffic Challenge?

Asked 2018-Jul-20 at 18:12

I have been playing around with the MIT DeepTraffic Challenge Also watching the lecture and reading the slides

After getting a General understanding of the architecture I was wondering what exactly the reward function given by the Environment is.

Is it the same as the Input of the gridcell (max. drivable Speed)?
And are they using Reward Clipping, or not?

I also found this javascript Codebase, which does not really help my understanding either.

...

ANSWER

Answered 2018-Jul-20 at 18:12

The reward is scaled average speed within the interval: [-3, 3].

The implementation of the deeptraffic environment locates in this file: https://selfdrivingcars.mit.edu/deeptraffic/gameopt.js

I'm trying to make it readable. Here's the WIP one: https://github.com/mljack/deeptraffic/blob/master/gameopt.js

Source https://stackoverflow.com/questions/50989406

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install DeepTraffic

You can download it from GitHub.
You can use DeepTraffic like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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