AMT | Official code for `` AMT : All-Pairs Multi

by MCG-NKU Python Version: Current License: Non-SPDX

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

kandi X-RAY | AMT Summary

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

For technical details, please refer to the method.md file, or read the full report on arXiv.

Support

Quality

Security

License

Reuse

Support

AMT has a low active ecosystem.

It has 97 star(s) with 5 fork(s). There are 4 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 AMT is current.

Quality

AMT has no bugs reported.

Security

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

License

AMT has a Non-SPDX License.

Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

Reuse

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

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

Installation instructions, examples and code snippets are 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 AMT

Get all kandi verified functions for this library.

AMT Key Features

No Key Features are available at this moment for AMT.

AMT Examples and Code Snippets

No Code Snippets are available at this moment for AMT.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install AMT

Create Conda Environment and Install Dependencies. Download pretrained models for demos from Pretrained Models and place them to the pretrained folder.
Clone Repo git clone https://github.com/MCG-NKU/AMT.git
Create Conda Environment and Install Dependencies conda env create -f environment.yaml conda activate amt
Download pretrained models for demos from Pretrained Models and place them to the pretrained folder

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: