CEAL | Cost-Effective Active Learning for Deep Image Classification | Machine Learning library

by yanxp Python Version: Current License: No License

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

kandi X-RAY | CEAL Summary

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

The code is unofficial for {. Cost-Effective Active Learning for Deep Image Classification. Keze Wang, Dongyu Zhang, Ya Li, Ruimao Zhang, Liang Lin. Accepted by IEEE Transactions on Circuits and Systems for Video Technology (TCSVT) 2016.

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Support

CEAL has a low active ecosystem.

It has 8 star(s) with 1 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 0 have been closed. On average issues are closed in 663 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of CEAL is current.

Quality

CEAL has no bugs reported.

Security

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

License

CEAL 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

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

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

Top functions reviewed by kandi - BETA

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

Convolution layer .
Initialize dataset .
Create the convolutional network .
Load initial weights .
Convolution layer .
Parse function inference .
Max pooling .
Local response normalization .
Dropout layer .

Get all kandi verified functions for this library.

CEAL Key Features

No Key Features are available at this moment for CEAL.

CEAL Examples and Code Snippets

No Code Snippets are available at this moment for CEAL.

Community Discussions

Trending Discussions on CEAL

Incorrect Pivot Selection for Sort Algorithm

QUESTION

Incorrect Pivot Selection for Sort Algorithm

Asked 2020-Jul-26 at 21:42

I'm trying to implement the multi-GPU sort algorithm outlined in the paper "Comparison Based Sorting for Systems with Multiple GPUs".

The algorithm relies on the following key insight (page 5):

Given the two sorted arrays A_α and A_β, there exist a pivot point P in A_β and its “mirrored” counterpart P' in A_α that partition the input arrays into two parts, upper and lower, such that elements from both lower parts are smaller than or equal to the elements from both upper parts while the number of elements in the lower part of each array is equal to the number of elements in the upper part of the other array. Merging lower parts and merging upper parts will result in two sorted arrays which when concatenated provide one, sorted array.

I have implement the pivot selection function (as described by pseudo code on page 6) in C++.

...

ANSWER

Answered 2020-Jul-26 at 21:42

I think this code should do it. We want to find the greatest pivot > 0 such that a[a.size() - pivot] >= b[pivot - 1] (least upper element of a greater than or equal to greatest lower element of b), or 0 if no such pivot exists. Since pivot is the greatest possible, this implies that pivot == b.size() (least element of a greater than or equal to greatest element of b) or a[a.size() - 1 - pivot] < b[pivot] (greatest lower element of a less than least upper element of b).

Source https://stackoverflow.com/questions/63105216

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

Vulnerabilities

No vulnerabilities reported

Install CEAL

You can download it from GitHub.
You can use CEAL 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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