RecencyBias | Publication Song, H

by kaist-dmlab Python Version: cifar100 License: Apache-2.0

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

kandi X-RAY | RecencyBias Summary

RecencyBias is a Python library. RecencyBias has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However RecencyBias build file is not available. You can download it from GitHub.

Publication Song, H., Kim, M., Kim, S., and Lee, J., "Carpe Diem: Seize the Samples Uncertain "at the Moment" for Adaptive Batch Selection," In Proceedings of the 29th ACM International Conference on Information and Knowlege Management (CIKM), October 2020, Ireland. [Paper].

Support

Quality

Security

License

Reuse

Support

RecencyBias has a low active ecosystem.

It has 22 star(s) with 20 fork(s). There are 13 watchers for this library.

It had no major release in the last 12 months.

There are 14 open issues and 0 have been closed. On average issues are closed in 25 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of RecencyBias is cifar100

Quality

RecencyBias has 0 bugs and 0 code smells.

Security

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

RecencyBias code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

RecencyBias 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

RecencyBias releases are available to install and integrate.

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

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

RecencyBias saves you 662 person hours of effort in developing the same functionality from scratch.

It has 1536 lines of code, 88 functions and 17 files.

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

Top functions reviewed by kandi - BETA

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

Compute recency bias
Builds the test op
Builds the network
Initiate inference
Updates the sampling probability for the given epoch
Calculate the uncertainty
Set noise
Resblock bottle resblock
Resblock convolution block
Set custom noise transition matrix
Calculates the p - table p table
Prints a transition matrix
Estimate active bias
Run online training

Get all kandi verified functions for this library.

RecencyBias Key Features

No Key Features are available at this moment for RecencyBias.

RecencyBias Examples and Code Snippets

No Code Snippets are available at this moment for RecencyBias.

Community Discussions

No Community Discussions are available at this moment for RecencyBias.Refer to stack overflow page for discussions.

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

Vulnerabilities

No vulnerabilities reported

Install RecencyBias

You can download it from GitHub.
You can use RecencyBias 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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