DeepKey | Python code of DeepKey system | Dataset library

by xiangzhang1015 Python Version: Current License: No License

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

kandi X-RAY | DeepKey Summary

DeepKey is a Python library typically used in Artificial Intelligence, Dataset applications. DeepKey has no bugs, it has no vulnerabilities and it has low support. However DeepKey build file is not available. You can download it from GitHub.

Python code of DeepKey system In the DeepKey experiment, two kinds of data are used: the gait and the EEG data. Ignore the PycharmProjects/untitled/activity_recognition_practice floder, it's empty and I will delete it later.

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DeepKey has a low active ecosystem.

It has 6 star(s) with 1 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

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

It has a neutral sentiment in the developer community.

The latest version of DeepKey is current.

Quality

DeepKey has 0 bugs and 0 code smells.

Security

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

DeepKey code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

DeepKey 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

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

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

It has 816 lines of code, 15 functions and 24 files.

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

Top functions reviewed by kandi - BETA

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

RNN layer .
Encoder .
Transformer encoder .
Compute accuracy .
One - hot encode array .
2d convolution layer .
Creates a weight variable .
Create a bias variable .
Max pooling op .

Get all kandi verified functions for this library.

DeepKey Key Features

No Key Features are available at this moment for DeepKey.

DeepKey Examples and Code Snippets

No Code Snippets are available at this moment for DeepKey.

Community Discussions

Trending Discussions on DeepKey

Typescript string autocomplete object structure midway

Typescript remap deep object keys to function chain

QUESTION

Typescript string autocomplete object structure midway

Asked 2021-Nov-03 at 18:23

I am trying to add type support for the function useTranslations in the next-intl package.

Lets assume my ./locales/en.ts file looks like this

...

ANSWER

Answered 2021-Nov-03 at 18:23

First of all, useTranslations should expect valid dot notation of path. I mean it should expect a union of "one" | "one.two" | "one.two.three" | "one.two.foo". You will find explanation in the comments:

Source https://stackoverflow.com/questions/69821826

QUESTION

Typescript remap deep object keys to function chain

Asked 2020-Jun-11 at 09:14

This works fine for mapping deep keys of objects:

...

ANSWER

Answered 2020-Jun-11 at 09:14

You can type a function that does this, your solution is pretty close, but the function generic be generic:

Source https://stackoverflow.com/questions/62307935

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

Vulnerabilities

No vulnerabilities reported

Install DeepKey

You can download it from GitHub.
You can use DeepKey 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 .

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