awesome-ml-for-cybersecurity
:octocat: Machine Learning for Cyber Security (by jivoi)
awesome-production-machine-learning
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning (by EthicalML)
Our great sponsors
| awesome-ml-for-cybersecurity | awesome-production-machine-learning | |
|---|---|---|
| 4 | 9 | |
| 6,798 | 15,947 | |
| - | 2.1% | |
| 0.0 | 7.4 | |
| 16 days ago | 5 days ago | |
| GNU General Public License v3.0 or later | MIT License |
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.
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-ml-for-cybersecurity
Posts with mentions or reviews of awesome-ml-for-cybersecurity.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-06-06.
- Awesome-ML-for-Cybersecurity
-
Machine learning in Cyber Security
There is a lot you can work on. You can start here : https://github.com/jivoi/awesome-ml-for-cybersecurity. If I had the time, I'd play with this tool : https://github.com/microsoft/CyberBattleSim
-
Cybersecurity Repositories
Machine Learning for Cyber Security
- What makes your specific area of Data Science hard?
awesome-production-machine-learning
Posts with mentions or reviews of awesome-production-machine-learning.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-12-13.
-
Exploring Open-Source Alternatives to Landing AI for Robust MLOps
One trove of treasures is the awesome-production-machine-learning repository on GitHub. This curated list provides a multitude of frameworks, libraries, and software designed to facilitate various stages of the ML lifecycle.
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[P] We are building a curated list of open source tooling for data-centric AI workflows, looking for contributions.
There is a cool, gigantic list for MLOps that I can recommend: https://github.com/EthicalML/awesome-production-machine-learning
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How much of a full DS project pipeline can I do for free?
There are a lot of frameworks and specific tools out there that try to make production ML projects viable; from specific like Airflow (orchestrating jobs) and MLflow (experiment tracking) to more complex ones like Kubeflow. You can have a grasp here.
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Sqldiff: SQLite Database Difference Utility
https://github.com/EthicalML/awesome-production-machine-lear...
- [D] What are the best resources to crack M L system design interviews?
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I'm looking for a tool that let's you visualize the models architecture like this. Any idea what it is called?
https://github.com/EthicalML/awesome-production-machine-learning I think you will find most of the tools to visualize the model on this link.
- Awesome production machine learning - curated list of awesome open source libraries that will help you deploy, monitor, version, scale, and secure your production machine learning [free] [website] [@all]
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Crucial differences in MLOps for deep learning
2/ https://github.com/EthicalML/awesome-production-machine-learning
What are some alternatives?
When comparing awesome-ml-for-cybersecurity and awesome-production-machine-learning you can also consider the following projects:
gdelt
shap - A game theoretic approach to explain the output of any machine learning model.
datascience - Curated list of Python resources for data science.
awesome-jax - JAX - A curated list of resources https://github.com/google/jax
awesome-hacking - A curated list of awesome Hacking tutorials, tools and resources
netron - Visualizer for neural network, deep learning and machine learning models
awesome-honeypots - an awesome list of honeypot resources
awesome-mlops - :sunglasses: A curated list of awesome MLOps tools
hacker101 - Source code for Hacker101.com - a free online web and mobile security class.
Probable-Wordlists - Version 2 is live! Wordlists sorted by probability originally created for password generation and testing - make sure your passwords aren't popular!
awesome-ocr
awesome-ml-for-cybersecurity vs gdelt
awesome-production-machine-learning vs shap
awesome-ml-for-cybersecurity vs datascience
awesome-production-machine-learning vs awesome-jax
awesome-ml-for-cybersecurity vs awesome-hacking
awesome-production-machine-learning vs netron
awesome-ml-for-cybersecurity vs awesome-honeypots
awesome-production-machine-learning vs awesome-mlops
awesome-ml-for-cybersecurity vs hacker101
awesome-production-machine-learning vs datascience
awesome-ml-for-cybersecurity vs Probable-Wordlists
awesome-production-machine-learning vs awesome-ocr