pennylane VS foolbox

Compare pennylane vs foolbox 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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pennylane foolbox
2 1
2,113 2,655
2.7% 1.1%
9.8 6.8
4 days ago 25 days ago
Python Python
Apache License 2.0 MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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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.

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.

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

What are some alternatives?

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

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

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.

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

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

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

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

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

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

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

qiskit-ibm-runtime - IBM Client for Qiskit Runtime