HackMIT2020 | HACKMIT 2020 hackathon | Data Labeling library

by kingcobra2468 JavaScript Version: Current License: No License

X-Ray Key Features Code Snippets Community Discussions(3)Vulnerabilities Install Support

kandi X-RAY | HackMIT2020 Summary

HackMIT2020 is a JavaScript library typically used in Artificial Intelligence, Data Labeling, Deep Learning, Tensorflow applications. HackMIT2020 has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

HACKMIT 2020 hackathon.

Support

Quality

Security

License

Reuse

Support

HackMIT2020 has a low active ecosystem.

It has 2 star(s) with 1 fork(s). There are 2 watchers for this library.

It had no major release in the last 6 months.

HackMIT2020 has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of HackMIT2020 is current.

Quality

HackMIT2020 has no bugs reported.

Security

HackMIT2020 has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

HackMIT2020 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

HackMIT2020 releases are not available. You will need to build from source code and install.

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

Top functions reviewed by kandi - BETA

kandi's functional review helps you automatically verify the functionalities of the libraries and avoid rework.
Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of HackMIT2020

Get all kandi verified functions for this library.

HackMIT2020 Key Features

No Key Features are available at this moment for HackMIT2020.

HackMIT2020 Examples and Code Snippets

No Code Snippets are available at this moment for HackMIT2020.

Community Discussions

Trending Discussions on Data Labeling

How can I do this split process in Python?

Replacing a character with a space and dividing the string into two words in R

Azure ML FileDataset registers, but cannot be accessed for Data Labeling project

QUESTION

How can I do this split process in Python?

Asked 2021-Dec-30 at 14:06

I'm trying to make a data labeling in a table, and I need to do it in such a way that, in each row, the index is repeated, however, that in each column there is another Enum class.

What I've done so far is make this representation with the same enumerator class.

A solution using the column separately as a list would also be possible. But what would be the best way to resolve this?

...

ANSWER

Answered 2021-Dec-30 at 13:57

Instead of using Enum you can use a dict mapping. You can avoid loops if you flatten your dataframe:

Source https://stackoverflow.com/questions/70532286

QUESTION

Replacing a character with a space and dividing the string into two words in R

Asked 2020-Nov-18 at 07:32

I have a dataframe that contains a column that includes strings separeted with semi-colons and it is followed by a space. But unfortunately in some of the strings there is a semi-colon that is not followed by a space.

In this case, This is what i'd like to do: If there is a space after the semi-colon we do not need a change. However if there are letters before and after the semi-colon, we should change semi-colon with space

i have this:

...

ANSWER

Answered 2020-Nov-16 at 07:24

Try something like:

Source https://stackoverflow.com/questions/64853962

QUESTION

Azure ML FileDataset registers, but cannot be accessed for Data Labeling project

Asked 2020-Oct-28 at 20:31

Objective: Generate a down-sampled FileDataset using random sampling from a larger FileDataset to be used in a Data Labeling project.

Details: I have a large FileDataset containing millions of images. Each filename contains details about the 'section' it was taken from. A section may contain thousands of images. I want to randomly select a specific number of sections and all the images associated with those sections. Then register the sample as a new dataset.

Please note that the code below is not a direct copy and paste as there are elements such as filepaths and variables that have been renamed for confidentiality reasons.

...

ANSWER

Answered 2020-Oct-27 at 22:39

Is the data behind virtual network by any chance?

Source https://stackoverflow.com/questions/64546521

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

Vulnerabilities

No vulnerabilities reported

Install HackMIT2020

Install node on your local system
Install npm packages using npm install
Start both node instances by running node index.js in both the /client and /server folders.
Put that url into the Server URI input from the client and click connect
(Optional) To establish connections from outside the local network, I recommend ngrok as a proxy for server/index.js.

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: