ivy VS foolbox

Compare ivy vs foolbox and see what are their differences.

ivy

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

foolbox

A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX (by bethgelab)
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ivy foolbox
1 1
10,475 2,689
- 0.9%
10.0 6.6
about 1 year ago 4 months ago
Python Python
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.

ivy

Posts with mentions or reviews of ivy. We have used some of these posts to build our list of alternatives and similar projects.
  • Need internship/part time role in AI/ML/Data Science field.
    1 project | /r/jobs | 29 Apr 2023
    As a volunteer developer at Ivy, I also been actively contributing to the project for several months now. I extended the Ivy Functional API by adding some linear algebra functions - matrix_exp (https://github.com/ivy-dl/ivy/blob/dev/ivy/linalg/matrix_exp.py) and diff (https://github.com/ivy-dl/ivy/blob/dev/ivy/linalg/diff.py) - to all four popular deep learning frameworks: NumPy, TensorFlow, PyTorch, and JAX. These functions allowed developers to perform matrix exponentiation and differentiation operations more efficiently and easily using any of these frameworks.

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 ivy and foolbox you can also consider the following projects:

tensorboardX - tensorboard for pytorch (and chainer, mxnet, numpy, ...)

pennylane - PennyLane is a cross-platform Python library for quantum computing, quantum machine learning, and quantum chemistry. Train a quantum computer the same way as a neural network.

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

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.

tensor-sensor - The goal of this library is to generate more helpful exception messages for matrix algebra expressions for numpy, pytorch, jax, tensorflow, keras, fastai.

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

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

leptonai - A Pythonic framework to simplify AI service building

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

PDEBench - PDEBench: An Extensive Benchmark for Scientific Machine Learning

bayesian-neural-network-pytorch - PyTorch implementation of bayesian neural network.

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