thundersvm | High performance parallel SVMs for Ruby | GPU library

by ankane Ruby Version: Current License: Apache-2.0

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

kandi X-RAY | thundersvm Summary

thundersvm is a Ruby library typically used in Hardware, GPU applications. thundersvm has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

ThunderSVM - high performance parallel SVMs - for Ruby. :fire: Uses GPUs and multi-core CPUs for blazing performance. For a great intro on support vector machines, check out this video.

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Support

thundersvm has a low active ecosystem.

It has 13 star(s) with 1 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

There are 2 open issues and 0 have been closed. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of thundersvm is current.

Quality

thundersvm has no bugs reported.

Security

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

License

thundersvm is licensed under the Apache-2.0 License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

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

Installation instructions, examples and code snippets are available.

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thundersvm Key Features

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thundersvm Examples and Code Snippets

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Community Discussions

Trending Discussions on thundersvm

Installing CUDA Windows 10

How to use ThunderSVM (GPU mode) on Pycharm in Windows 10

QUESTION

Installing CUDA Windows 10

Asked 2021-Jan-29 at 12:06

I am trying to install the CUDA toolkit in order to be able to use Thundersvm in my personal computer. However I keep getting the following message in the GUI installer: "You already have a newer version of the NVIDIA Frameview SDK installed"

I read in the CUDA forums that this most probably results from having installed Geforce Experience (which I have installed). So I tried removing it from the Programs and Features windows panel. However I still got the error, so my guess is that the "Nvidia Corporation" folder was not removed.

In the same question, they also suggested performing a custom install. However I could not find any information on how to do a custom install of the CUDA toolkit. I would really appreciate if someone could explain how to do this custom install or safely remove the previous drivers. I thought of using DDU but I read that sometimes it may actually lead to trouble.

...

ANSWER

Answered 2021-Jan-29 at 12:06

I had the same problem while I was trying to get TensorFlow to use my NVIDIA GTX1070 GPU for calculations. Here's what allowed me to perform the CUDA Toolkit installation on my Windows 10 machine.

As the error message in the installer says - you already have a newer Frameview SDK installed. It was the case for me.

Go to Settings/Uninstall or modify programs.
Remove the NVIDIA Frameview program. It should be there with GeForce Experience, PhysX, etc.

Uninstalling only this NVIDIA program didn't cause any driver problems for my machine and I was able to progress through the CUDA Toolkit instalator.

Source https://stackoverflow.com/questions/65925387

QUESTION

How to use ThunderSVM (GPU mode) on Pycharm in Windows 10

Asked 2019-Oct-15 at 05:23

I followed the instructor on the official github of ThunderSVM and installed it for Windows. I can run ThuderSVM in git-bash CLI. The question here shows that we can add ThunderSVM into Keras, how about Pycharm? My question is how to run ThunderSVM on Pycharm.

In the folder thundersvm/build/lib: I have thundersvm.exp, thundersvm.lib, thundersvm-train.exp, thundersvm-train.lib, thundersvm-predict.exp, and thundersvm-predict.lib files.

I installed Pycharm on Windows 10 and interpreted it using python 3.6 through Anaconda. My GPU is RTX 2070.

Thank you in advance and sorry for my bad English.

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ANSWER

Answered 2019-Oct-15 at 05:23

I have an answer to my question.

Cloning ThunderSVM and went to C:\Users\user-name\thundersvm\python\thundersvm
Copying all files in here and post them in a new folder in Pycharmproject.
Opening Pycharm and reconfigure Project Interpreter in File/Settings.

I can run ThunderSVM in Pycharm right now. However, I realize that the built-in SVM of sklearn is faster than ThunderSVM in my case (many different small training data = many times to train SVM, and I have to write down the model in each time training). I tried SVM of tensorflow: tf.contrib.learn.SVM also and received the same result (tensorflow is faster than ThunderSVM but less accuracy).

Source https://stackoverflow.com/questions/58386041

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

Vulnerabilities

No vulnerabilities reported

Install thundersvm

Add this line to your application’s Gemfile:.
Use ThunderSVM::Classifier for classification and ThunderSVM::Model for other models. Save the model to a file. Load the model from a file.