One-GORD | NeurIPS2020 : One-sample Guided Object Representation

by HymEric Python Version: Current License: Apache-2.0

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

kandi X-RAY | One-GORD Summary

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

NeurIPS2020: One-sample Guided Object Representation Disassembling

Support

Quality

Security

License

Reuse

Support

One-GORD has a low active ecosystem.

It has 2 star(s) with 0 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

One-GORD has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of One-GORD is current.

Quality

One-GORD has no bugs reported.

Security

One-GORD has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

One-GORD 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

One-GORD releases are not available. You will need to build from source code and install.

One-GORD 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.

Top functions reviewed by kandi - BETA

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

Linear network .
2D convolutional layer .
A 2D convolutional layer .
Visualize a matrix .
Get the dataset .
Train the model .
Main function for training .
Batchnorm .
Residual block layer .
r Save images to disk .

Get all kandi verified functions for this library.

One-GORD Key Features

No Key Features are available at this moment for One-GORD.

One-GORD Examples and Code Snippets

No Code Snippets are available at this moment for One-GORD.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install One-GORD

You can download it from GitHub.
You can use One-GORD 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.