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bethgelab avatar

bethgelab/foolbox

0
View on GitHub↗
2,966 stars·438 forks·Python·MIT·7 viewsfoolbox.jonasrauber.de↗

Foolbox

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Features

  • Adversarial Security Tools - Toolkit for benchmarking the robustness of machine learning models.
  • AI Security and Red Teaming - Python toolbox to create adversarial examples.
  • Deep Learning Frameworks - Adversarial attack library for neural networks.

Star history

Star history chart for bethgelab/foolboxStar history chart for bethgelab/foolbox

How this analysis was created: This summary and feature list are AI-generated from collected project material and can contain mistakes. Stars, license and language are imported from GitHub. Inclusion does not mean that we have tested or audited this project. Check the source documentation for any feature you depend on. Learn more on our About page.

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Projects sharing features with Foolbox

These projects share indexed features with Foolbox. Shared tags can include platform or build tooling; verify the primary use case before treating a result as a replacement.
  • lutzroeder/netronlutzroeder avatar

    lutzroeder/netron

    33,087View on GitHub↗

    Netron is a visualizer for neural network and machine learning models. It provides a graphical interface that renders model architectures as interactive node-link diagrams, allowing users to inspect internal layers, tensors, and metadata. By performing static analysis, the tool enables the examination of model definitions without executing the underlying machine learning code. The software distinguishes itself through a schema-driven parsing engine that translates diverse proprietary model formats into a unified internal graph structure. This approach ensures interoperability, allowing users

    JavaScriptaicoremldeep-learning
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  • trigaten/learn_promptingtrigaten avatar

    trigaten/Learn_Prompting

    4,709View on GitHub↗

    Learn_Prompting is an educational project focused on prompt engineering, providing the principles and techniques required to craft effective inputs and improve the quality of generative AI outputs. The project covers advanced prompting strategies to enhance reasoning, reliability, and output quality. This includes techniques for task decomposition, chain-of-thought reasoning, and the use of few-shot and zero-shot guidance. It also addresses model security through the study of prompt hacking, vulnerability analysis, and privacy auditing to prevent sensitive data leaks. The scope extends to th

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  • alankbi/detectoalankbi avatar

    alankbi/detecto

    626View on GitHub↗

    Build fully-functioning computer vision models with PyTorch

    Python
    View on GitHub↗626
  • albu/albumentationsalbu avatar

    albu/albumentations

    15,308View on GitHub↗

    Albumentations is an image augmentation library and computer vision preprocessing tool designed to expand datasets for deep learning models. It provides a collection of transformations that modify pixel values and spatial geometry to increase the diversity of training samples and improve model generalization. The library supports both 2D image augmentation and 3D volumetric data augmentation. It handles a variety of labels alongside images, ensuring that bounding boxes, keypoints, and segmentation masks remain accurately aligned when spatial transformations are applied. The tool incorporates

    Python
    View on GitHub↗15,308
Compare all 30 related projects→

Frequently asked questions

What does bethgelab/foolbox do?

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What are the main features of bethgelab/foolbox?

The main features of bethgelab/foolbox are: Adversarial Security Tools, AI Security and Red Teaming, Deep Learning Frameworks.

Which projects share features with bethgelab/foolbox?

Projects with overlapping indexed features include: lutzroeder/netron — Netron is a visualizer for neural network and machine learning models. It provides a graphical interface that renders… trigaten/learn_prompting — Learn_Prompting is an educational project focused on prompt engineering, providing the principles and techniques… alankbi/detecto — Build fully-functioning computer vision models with PyTorch. aliasrobotics/cai — CAI is a framework for building autonomous security agents and an orchestration system for coordinating multiple… alrojo/tensorflow-tutorial — Practical tutorials and labs for TensorFlow used by Nvidia, FFN, CNN, RNN, Kaggle, AE. albu/albumentations — Albumentations is an image augmentation library and computer vision preprocessing tool designed to expand datasets for…