DeepST | Reconstruction of DeepST | 3D Printing library

by TolicWang Python Version: Current License: No License

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

kandi X-RAY | DeepST Summary

DeepST is a Python library typically used in Modeling, 3D Printing applications. DeepST has no bugs, it has no vulnerabilities and it has low support. However DeepST build file is not available. You can download it from GitHub.

Reconstruction of DeepST

Support

Quality

Security

License

Reuse

Support

DeepST has a low active ecosystem.

It has 75 star(s) with 27 fork(s). There are 2 watchers for this library.

It had no major release in the last 6 months.

There are 3 open issues and 1 have been closed. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of DeepST is current.

Quality

DeepST has 0 bugs and 0 code smells.

Security

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

DeepST code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

DeepST 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

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

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

DeepST saves you 244 person hours of effort in developing the same functionality from scratch.

It has 595 lines of code, 37 functions and 6 files.

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

Top functions reviewed by kandi - BETA

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

Train the model
Generate batch
Builds the network
Convolution 2D convolution layer
Performs full concatenation
Fusion layer
Evaluate the model
Convert timestamps to a numpy array
Convert string to timestamps
Load the taxi data
Create a pandas dataframe
Cache the dataset
Checks if dependencies are in the index

Get all kandi verified functions for this library.

DeepST Key Features

No Key Features are available at this moment for DeepST.

DeepST Examples and Code Snippets

No Code Snippets are available at this moment for DeepST.

Community Discussions

Trending Discussions on DeepST

How to delve down a dictionary and remove deepest key level

QUESTION

How to delve down a dictionary and remove deepest key level

Asked 2018-Apr-09 at 17:21

Assume I have the following dictionary object:

...

ANSWER

Answered 2018-Apr-09 at 17:21

Assuming every final value for Third_level keys should be set to 1, you can use recursion to handle data of an arbitrary depth:

Source https://stackoverflow.com/questions/49736700

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

Vulnerabilities

No vulnerabilities reported

Install DeepST

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

Find more information at: