goro | A High-level Machine Learning Library for Go | Machine Learning library

by aunum Go Version: Current License: Apache-2.0

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

kandi X-RAY | goro Summary

goro is a Go library typically used in Artificial Intelligence, Machine Learning, Deep Learning, Keras applications. goro has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

Goro is a high-level machine learning library for Go built on Gorgonia. It aims to have the same feel as Keras.

Support

Quality

Security

License

Reuse

Support

goro has a low active ecosystem.

It has 276 star(s) with 12 fork(s). There are 11 watchers for this library.

It had no major release in the last 6 months.

There are 1 open issues and 1 have been closed. On average issues are closed in 4 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of goro is current.

Quality

goro has 0 bugs and 0 code smells.

Security

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

goro code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

goro 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

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

Installation instructions are not available. Examples and code snippets are available.

It has 1940 lines of code, 183 functions and 17 files.

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

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goro Key Features

No Key Features are available at this moment for goro.

goro Examples and Code Snippets

No Code Snippets are available at this moment for goro.

Community Discussions

Trending Discussions on goro

Running 1000 functions gracefully using python multi-processing

QUESTION

Running 1000 functions gracefully using python multi-processing

Asked 2021-Feb-01 at 15:16

I'm trying to receive stock data for about 1000 stocks, to speed up the process I'm using multiprocessing, unfortunately due to the large amount of stock data I'm trying to receive python as a whole just crashes.

Is there a way to use multiprocessing without python crashing, I understand it would still take some time to do all of the 1000 stocks, but all I need is to do this process as fast as possible.

...

ANSWER

Answered 2021-Jan-31 at 19:18

Ok, here is one way to obtain what you want in about 2min. Some tickers are bad, that's why it crashes.

Here's the code. I use joblib for threading or multiprocess since it doesn't work in my env. But, that's the spirit.

Source https://stackoverflow.com/questions/65980910

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