network-playground | Network and web related exploratory playground

by mantvydasb Python Version: Current License: No License

X-Ray Key Features Code Snippets Community Discussions(2)Vulnerabilities Install Support

kandi X-RAY | network-playground Summary

network-playground is a Python library. network-playground has no bugs, it has no vulnerabilities and it has low support. However network-playground build file is not available. You can download it from GitHub.

Network and web related exploratory playground.

Support

Quality

Security

License

Reuse

Support

network-playground has a low active ecosystem.

It has 11 star(s) with 5 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

network-playground has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of network-playground is current.

Quality

network-playground has 0 bugs and 0 code smells.

Security

network-playground has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

network-playground code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

network-playground does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

network-playground releases are not available. You will need to build from source code and install.

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

network-playground saves you 296 person hours of effort in developing the same functionality from scratch.

It has 714 lines of code, 71 functions and 14 files.

It has medium code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

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

Handle client requests
Execute a command and return the output
Builds a package for download
Extract file name and file path from client request
Starts the heroforce
Build a request
Send an HTTP request
Attempts to login with username and password
Start listening for events
Returns the socket protocol
Returns the search results
Get the html body of a given url
Start sniffer
Check if an IP address is logged in
Parse command line arguments
Display usage information
Prints movie ratings
Passes the gateway to the target target
Start the FTP client
Parse torrents
Returns the configuration as a dictionary
Fills the target gateway
Distribute traffic to an FTP server
Execute shell code

Get all kandi verified functions for this library.

network-playground Key Features

No Key Features are available at this moment for network-playground.

network-playground Examples and Code Snippets

No Code Snippets are available at this moment for network-playground.

Community Discussions

Trending Discussions on network-playground

Synaptic / Neataptic simple NEAT XOR solution

Neataptic always returning same value after training

QUESTION

Synaptic / Neataptic simple NEAT XOR solution

Asked 2018-Feb-01 at 13:35

EDIT: I managed to get together couple of simple examples https://github.com/developer239/neural-network-playground

Could anyone help me with simple neat example teaching the net how to solve XOR or some other similar problem? But using the NEAT technique so that I would not have to specify training data set?

Using javascript: https://github.com/cazala/synaptic or https://github.com/wagenaartje/neataptic

1. Initialize network 2. Generate generation 3. Go through each genome in generation and evaluate its fitness (how good it is) 4. Take 2 best genomes from generation 5. Merge genomes 50 / 50 at random 6. Mutate final genome 7. Generate second generation

This would be extremely helpful. Same teqnique is being used here:

https://github.com/ivanseidel/IAMDinosaur

https://www.youtube.com/watch?v=P7XHzqZjXQs

I went through the source code but there is WAY to much stuff going on. I understand the general idea. However I have no idea how to implement the solution.

Thank you :)

...

ANSWER

Answered 2017-Oct-08 at 13:52

There is an example on Neataptic's README.md.

Source https://stackoverflow.com/questions/46624377

QUESTION

Neataptic always returning same value after training

Asked 2017-Oct-22 at 12:26

EDIT: I managed to get together couple of simple examples https://github.com/developer239/neural-network-playground

I just started playing with neataptic. I wanted to make the neural network to learn how to count using number: 1, 2, 3, 4, 5, 6, 7, 8, 9.

I normalized my inputs to 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9.

Then I wrote really simple training program that would teach the net how to add 1 + 2 (0.1 + 0.3).

...

ANSWER

Answered 2017-Oct-08 at 13:50

The dataset is too small for the neural network to learn from patterns. You have only provided it with samples that have 0.3 as output. The neural network minimizes its error by always outputting 0.3, as that is exactly how it was trained. I have created an example with 1000 (dynamically generated) samples, which seems to work:

Source https://stackoverflow.com/questions/46621111

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

Vulnerabilities

No vulnerabilities reported

Install network-playground

You can download it from GitHub.
You can use network-playground 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 .

Find more information at: