Machine-Learning-Tutorials VS mlattacks

Compare Machine-Learning-Tutorials vs mlattacks and see what are their differences.

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Machine-Learning-Tutorials mlattacks
3 2
14,870 47
- -
0.0 2.4
about 1 month ago 12 months ago
Jupyter Notebook
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.

Machine-Learning-Tutorials

Posts with mentions or reviews of Machine-Learning-Tutorials. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-09-25.

mlattacks

Posts with mentions or reviews of mlattacks. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-09-01.

What are some alternatives?

When comparing Machine-Learning-Tutorials and mlattacks you can also consider the following projects:

awesome-conformal-prediction - A professionally curated list of awesome Conformal Prediction videos, tutorials, books, papers, PhD and MSc theses, articles and open-source libraries.

Made-With-ML - Learn how to design, develop, deploy and iterate on production-grade ML applications.

Gorgonia - Gorgonia is a library that helps facilitate machine learning in Go.

advertorch - A Toolbox for Adversarial Robustness Research

awesome-ai-in-finance - 🔬 A curated list of awesome LLMs & deep learning strategies & tools in financial market.

auto_LiRPA - auto_LiRPA: An Automatic Linear Relaxation based Perturbation Analysis Library for Neural Networks and General Computational Graphs

Awesome-Quant-Machine-Learning-Trading - Quant/Algorithm trading resources with an emphasis on Machine Learning

AIJack - Security and Privacy Risk Simulator for Machine Learning (arXiv:2312.17667)

mit-deep-learning-book-pdf - MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville

TextAttack - TextAttack 🐙 is a Python framework for adversarial attacks, data augmentation, and model training in NLP https://textattack.readthedocs.io/en/master/

ABigSurvey - A collection of 1000+ survey papers on Natural Language Processing (NLP) and Machine Learning (ML).

adversarial-robustness-toolbox - Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams