Survival_of_the_Fittest | Simple machine learning example | Machine Learning library

by WDaan JavaScript Version: Current License: No License

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kandi X-RAY | Survival_of_the_Fittest Summary

Survival_of_the_Fittest is a JavaScript library typically used in Artificial Intelligence, Machine Learning, Deep Learning, Tensorflow applications. Survival_of_the_Fittest has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

Simple machine learning example

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Survival_of_the_Fittest has a low active ecosystem.

It has 4 star(s) with 0 fork(s). There are no watchers for this library.

It had no major release in the last 6 months.

Survival_of_the_Fittest has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of Survival_of_the_Fittest is current.

Quality

Survival_of_the_Fittest has no bugs reported.

Security

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

License

Survival_of_the_Fittest 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.

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

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Survival_of_the_Fittest Key Features

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Survival_of_the_Fittest Examples and Code Snippets

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Community Discussions

Trending Discussions on Survival_of_the_Fittest

PyCUDA illegal memory access of curandState*

QUESTION

PyCUDA illegal memory access of curandState*

Asked 2019-Jun-25 at 09:38

I'm studying the spread of an invasive species and am trying to generate random numbers within a PyCUDA kernel using the XORWOW random number generator. The matrices I need to be able to use as input in the study are quite large (up to 8,000 x 8,000).

The error seems to occur inside get_random_number when indexing the curandState* of the XORWOW generator. The code executes without errors on smaller matrices and produces correct results. I'm running my code on 2 NVidia Tesla K20X GPUs.

Kernel code and setup:

...

ANSWER

Answered 2019-Jun-25 at 09:38

The problem here is a disconnect between this code which determines the size of the state which the PyCUDA curandom interface allocates for its internal state and this code in your post:

Source https://stackoverflow.com/questions/56720189

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

Vulnerabilities

No vulnerabilities reported

Install Survival_of_the_Fittest

You can download it from GitHub.

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