concise | COnvolutional neural Networks for CIS-regulatory Elements

by Avsecz Jupyter Notebook Version: 0.1.0 License: MIT

X-Ray Key Features Code Snippets(2)Community Discussions Vulnerabilities Install Support

kandi X-RAY | concise Summary

concise is a Jupyter Notebook library. concise has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

Concise (originally CONvolutional neural networks for CIS-regulatory Elements) allows you to:.

Support

Quality

Security

License

Reuse

Support

concise has a low active ecosystem.

It has 5 star(s) with 1 fork(s). There are 3 watchers for this library.

It had no major release in the last 12 months.

There are 6 open issues and 3 have been closed. On average issues are closed in 103 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of concise is 0.1.0

Quality

concise has no bugs reported.

Security

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

License

concise is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

concise releases are available to install and integrate.

Installation instructions, examples and code snippets are available.

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concise Key Features

No Key Features are available at this moment for concise.

concise Examples and Code Snippets

Concise: Keras extension for regulatory genomics,Installation

Jupyter Notebook

Lines of Code : 1

License : Permissive (MIT)

Copy

pip install concise

Enable the debug event for the given dump .

python

Lines of Code : 188

License : Non-SPDX (Apache License 2.0)

Copy

def enable_dump_debug_info(dump_root,
                           tensor_debug_mode=DEFAULT_TENSOR_DEBUG_MODE,
                           circular_buffer_size=1000,
                           op_regex=None,
                           tensor_dtypes=Non

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install concise

Concise is available for Python versions greater than 3.4 and can be installed from PyPI using pip:.
Ubuntu: sudo apt-get install -y libgeos-dev
Red-hat/CentOS: sudo yum install geos-devel