foolbox VS autocvd

Compare foolbox vs autocvd 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)

autocvd

Tool to automatically set CUDA_VISIBLE_DEVICES based on GPU utilization. Usable from command line and code. (by jonasricker)
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foolbox autocvd
1 1
2,663 1
1.0% -
6.6 4.4
about 1 month ago 11 months ago
Python Python
MIT License MIT License
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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

autocvd

Posts with mentions or reviews of autocvd. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-05-16.

What are some alternatives?

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

pennylane - PennyLane is a cross-platform Python library for differentiable programming of quantum computers. Train a quantum computer the same way as a neural network.

TransformerEngine - A library for accelerating Transformer models on NVIDIA GPUs, including using 8-bit floating point (FP8) precision on Hopper and Ada GPUs, to provide better performance with lower memory utilization in both training and inference.

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.

g2eth - Get mining specs on given GPUs

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

autocvd-go - A golang cli tool for setting `CUDA_VISIBLE_DEVICES` based on GPU utilization.

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

best-of-ml-python - 🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.

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

Artificial-Intelligence-Deep-Learning-Machine-Learning-Tutorials - A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Climate / Energy, Automotives, Retail, Pharma, Medicine, Healthcare, Policy, Ethics and more.

FastFold - Optimizing AlphaFold Training and Inference on GPU Clusters