awesome-vulnerability-assessment VS awesome-nlp

Compare awesome-vulnerability-assessment vs awesome-nlp and see what are their differences.

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awesome-vulnerability-assessment awesome-nlp
1 3
78 16,058
- -
2.3 4.3
about 1 year ago 6 months ago
MIT License Creative Commons Zero v1.0 Universal
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

awesome-vulnerability-assessment

Posts with mentions or reviews of awesome-vulnerability-assessment. We have used some of these posts to build our list of alternatives and similar projects.
  • Seeking Advice on Developing a Vulnerability Management Program
    1 project | /r/cybersecurity | 28 Apr 2023
    At first glance the tool selection looks a bit counterintuitive - will your focus be EASM, vulnerability assessment (you are not managing anything unless you include risk acceptance/mitigation and remediation) or automated (atomic) red teaming? For easy exploitability checks have a look at Prelude Operator; Nuclei as a modern scanner, OpenVAS to represent the traditional approach. For theory backing check here: https://github.com/lhmtriet/awesome-vulnerability-assessment

awesome-nlp

Posts with mentions or reviews of awesome-nlp. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-09-29.

What are some alternatives?

When comparing awesome-vulnerability-assessment and awesome-nlp you can also consider the following projects:

subaru-starlink-research - Subaru StarLink persistent root code execution.

awesome-self-reference - A curated list of examples of self-reference in art, science, and technology

yt-channels-DS-AI-ML-CS - A comprehensive list of 180+ YouTube Channels for Data Science, Data Engineering, Machine Learning, Deep learning, Computer Science, programming, software engineering, etc.

lxml - The lxml XML toolkit for Python

awesome-seml - A curated list of articles that cover the software engineering best practices for building machine learning applications.

OpenCV - Open Source Computer Vision Library

nlp_course - YSDA course in Natural Language Processing

astropy - Astronomy and astrophysics core library

Pandas - Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

nlp-tutorial - Natural Language Processing Tutorial for Deep Learning Researchers

spaCy - 💫 Industrial-strength Natural Language Processing (NLP) in Python

PRAW - PRAW, an acronym for "Python Reddit API Wrapper", is a python package that allows for simple access to Reddit's API.