New_compounds_iteration | README : The deep_learning_coronavirus_cure_M_protease
kandi X-RAY | New_compounds_iteration Summary
kandi X-RAY | New_compounds_iteration Summary
New_compounds_iteration is a Python library. New_compounds_iteration has no bugs, it has no vulnerabilities and it has low support. However New_compounds_iteration build file is not available. You can download it from GitHub.
README: The deep_learning_coronavirus_cure_M_protease folder contains the script for retraining (retrain.py) , also codes for iterative retraining. Details see the deep_learning_coronavirus_cure_M_protease/readme.txt. The deep_learning_PDE5D_n deep_learning_TIPE2_n deep_learning_coronavirus_cure_RdRp_n deep_learning_PDL1-PDL1_n deep_learning_Xanthine_Oxidase_n contains the protein information(receptor/), and final selected candidates(results/).
README: The deep_learning_coronavirus_cure_M_protease folder contains the script for retraining (retrain.py) , also codes for iterative retraining. Details see the deep_learning_coronavirus_cure_M_protease/readme.txt. The deep_learning_PDE5D_n deep_learning_TIPE2_n deep_learning_coronavirus_cure_RdRp_n deep_learning_PDL1-PDL1_n deep_learning_Xanthine_Oxidase_n contains the protein information(receptor/), and final selected candidates(results/).
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Support
New_compounds_iteration has a low active ecosystem.
It has 0 star(s) with 0 fork(s). There are 1 watchers for this library.
It had no major release in the last 6 months.
New_compounds_iteration has no issues reported. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of New_compounds_iteration is current.
Quality
New_compounds_iteration has no bugs reported.
Security
New_compounds_iteration has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
New_compounds_iteration 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.
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New_compounds_iteration releases are not available. You will need to build from source code and install.
New_compounds_iteration has no build file. You will be need to create the build yourself to build the component from source.
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New_compounds_iteration Key Features
No Key Features are available at this moment for New_compounds_iteration.
New_compounds_iteration Examples and Code Snippets
No Code Snippets are available at this moment for New_compounds_iteration.
Community Discussions
No Community Discussions are available at this moment for New_compounds_iteration.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install New_compounds_iteration
You can download it from GitHub.
You can use New_compounds_iteration 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.
You can use New_compounds_iteration 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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