rockfish

by lbcb-sci Python Version: Current License: No License

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

kandi X-RAY | rockfish Summary

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

Rockfish is the deep learning based tool for detecting 5mC DNA base modifications.

Support

Quality

Security

License

Reuse

Support

rockfish 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.

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

It has a neutral sentiment in the developer community.

The latest version of rockfish is current.

Quality

rockfish has no bugs reported.

Security

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

License

rockfish 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

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

rockfish 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.

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rockfish Key Features

No Key Features are available at this moment for rockfish.

rockfish Examples and Code Snippets

No Code Snippets are available at this moment for rockfish.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install rockfish

a) Create new environment (e.g. Conda):. b) Activate the environment. Note: "cu113" installs PyTorch for CUDA 11.3. If you want to install PyTorch for other CUDA version, replace "cu113" with appropriate version (e.g. for CUDA 10.2 "cu102"). Download models Available models: base, small (or both with all).
a) Create new environment (e.g. Conda): conda create --name rockfish python=3.9 b) Activate the environment conda activate rockfish
Clone the repository git clone ... rockfish && cd rockfish
Run installation pip install --extra-index-url https://download.pytorch.org/whl/cu113 . Note: "cu113" installs PyTorch for CUDA 11.3. If you want to install PyTorch for other CUDA version, replace "cu113" with appropriate version (e.g. for CUDA 10.2 "cu102").
Download models Available models: base, small (or both with all) rockfish download -m {all, base, small}

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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