ml-talk-demos | Google Next '17 talk | Machine Learning library

by sararob JavaScript Version: Current License: Apache-2.0

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

kandi X-RAY | ml-talk-demos Summary

ml-talk-demos is a JavaScript library typically used in Artificial Intelligence, Machine Learning applications. ml-talk-demos has no vulnerabilities, it has a Permissive License and it has low support. However ml-talk-demos has 6 bugs. You can download it from GitHub.

Code for the demos from my Google Next '17 talk: https://youtu.be/w1xNTLH1zlA and I/O '17 talk: https://www.youtube.com/watch?v=ETeeSYMGZn0

Support

Quality

Security

License

Reuse

Support

ml-talk-demos has a low active ecosystem.

It has 301 star(s) with 128 fork(s). There are 32 watchers for this library.

It had no major release in the last 6 months.

There are 6 open issues and 3 have been closed. On average issues are closed in 81 days. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of ml-talk-demos is current.

Quality

ml-talk-demos has 6 bugs (0 blocker, 0 critical, 2 major, 4 minor) and 1 code smells.

Security

ml-talk-demos has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

ml-talk-demos code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

ml-talk-demos 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

ml-talk-demos 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.

ml-talk-demos saves you 180 person hours of effort in developing the same functionality from scratch.

It has 446 lines of code, 8 functions and 10 files.

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

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ml-talk-demos Key Features

No Key Features are available at this moment for ml-talk-demos.

ml-talk-demos Examples and Code Snippets

No Code Snippets are available at this moment for ml-talk-demos.

Community Discussions

Trending Discussions on ml-talk-demos

Google Speech bash script with base64 : Unexpected token.\n

QUESTION

Google Speech bash script with base64 : Unexpected token.\n

Asked 2018-Jun-22 at 06:12

I use the following code : https://github.com/sararob/ml-talk-demos/blob/master/speech/request.sh to fit my own bash script.

...

ANSWER

Answered 2018-Jun-22 at 06:12

You should avoid updating JSON data with sed.

If you have valid JSON data (i.e you have to fix the lines "phrases": [] and "content": "", you could use jq instead:

Source https://stackoverflow.com/questions/50968533

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

Vulnerabilities

No vulnerabilities reported

Install ml-talk-demos

You can download it from GitHub.

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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