foolbox VS pennylane

Compare foolbox vs pennylane and see what are their differences.

foolbox

A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX (by bethgelab)
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foolbox pennylane
1 3
2,663 2,124
1.1% 1.9%
6.6 9.8
about 1 month ago 6 days ago
Python Python
MIT License Apache License 2.0
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.
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foolbox

Posts with mentions or reviews of foolbox. We have used some of these posts to build our list of alternatives and similar projects.
  • More snake-oil
    1 project | /r/DefendingAIArt | 26 Jun 2023
    Go ahead, play with any adversarial attacks from https://github.com/bethgelab/foolbox you will not find an attack that is both robust to perturbations and almost visually imperceptible

pennylane

Posts with mentions or reviews of pennylane. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-04-27.

What are some alternatives?

When comparing foolbox and pennylane you can also consider the following projects:

d2l-en - Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.

qiskit-ibm-provider - Qiskit Provider for accessing the IBM Quantum Services: Online Systems and Simulators

ivy - The Unified Machine Learning Framework [Moved to: https://github.com/unifyai/ivy]

ADCME.jl - Automatic Differentiation Library for Computational and Mathematical Engineering

autocvd - Tool to automatically set CUDA_VISIBLE_DEVICES based on GPU utilization. Usable from command line and code.

Cirq - A python framework for creating, editing, and invoking Noisy Intermediate Scale Quantum (NISQ) circuits.

transformers - 🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

machine_learning_refined - Notes, examples, and Python demos for the 2nd edition of the textbook "Machine Learning Refined" (published by Cambridge University Press).

thinc - 🔮 A refreshing functional take on deep learning, compatible with your favorite libraries

qiskit-ibm-runtime - IBM Client for Qiskit Runtime