Linking pages
- GitHub - aymericdamien/TopDeepLearning: A list of popular github projects related to deep learning https://github.com/aymericdamien/TopDeepLearning 35 comments
- Adversarial Attack and Defense on Neural Networks in PyTorch | by Ta-Ying Cheng | Towards Data Science https://medium.com/@taying.cheng/adversarial-attack-and-defense-on-neural-networks-in-pytorch-82b5bcd9171 3 comments
- Adversarial Attack and Defense on Neural Networks in PyTorch | by Ta-Ying Cheng | Towards Data Science https://towardsdatascience.com/adversarial-attack-and-defense-on-neural-networks-in-pytorch-82b5bcd9171 3 comments
- GitHub - jphall663/awesome-machine-learning-interpretability: A curated list of awesome machine learning interpretability resources. https://github.com/jphall663/awesome-machine-learning-interpretability 0 comments
- GitHub - EthicalML/awesome-production-machine-learning: A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning https://github.com/EthicalML/awesome-production-machine-learning 0 comments
- Looking Back at Google’s Research Efforts in 2018 – Google AI Blog https://ai.googleblog.com/2019/01/looking-back-at-googles-research.html 0 comments
- TensorFlow.js and Machine Learning in JavaScript with Suz and Nick featuring Paige Bailey (JS Party #64) |> Changelog https://changelog.com/jsparty/64 0 comments
- How Adversarial Attacks Work. Recent studies by Google Brain have… | by Roman Trusov | XIX.ai, Inc. | Medium https://medium.com/xix-ai/how-adversarial-attacks-work-87495b81da2d 0 comments
- Adversarial Machine Learning Tutorial | Toptal https://www.toptal.com/machine-learning/adversarial-machine-learning-tutorial#select-only-talented-web-development-contractors 0 comments
- The challenge of verification and testing of machine learning | cleverhans-blog http://www.cleverhans.io/security/privacy/ml/2017/06/14/verification.html 0 comments
- GitHub - BorealisAI/advertorch: A Toolbox for Adversarial Robustness Research https://github.com/BorealisAI/advertorch 0 comments
- I tricked m3.euagendas.org, the Twitter analysis website, with adversarial inputs | Worth Doing Badly https://worthdoingbadly.com/nn-adversarial/ 0 comments
- GitHub - Spacial/awesome-csirt: Awesome CSIRT is an curated list of links and resources in security and CSIRT daily activities. https://github.com/Spacial/csirt 0 comments
- Building a Bayesian deep learning classifier | by Kyle Dorman | Towards Data Science https://medium.com/towards-data-science/building-a-bayesian-deep-learning-classifier-ece1845bc09 0 comments
- Building a Bayesian deep learning classifier | by Kyle Dorman | Towards Data Science https://towardsdatascience.com/building-a-bayesian-deep-learning-classifier-ece1845bc09 0 comments
- Machine Learning Toolbox https://amitness.com/toolbox/ 0 comments
Linked pages
- TensorFlow http://tensorflow.org/ 440 comments
- PyTorch http://pytorch.org/ 100 comments
- GitHub - google/jax: Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more https://github.com/google/jax 99 comments
- Mastering Git submodules. Hair-pulling. Helpless rage… | by Christophe Porteneuve | Medium https://medium.com/@porteneuve/mastering-git-submodules-34c65e940407 39 comments
- GitHub - cleverhans-lab/cleverhans: An adversarial example library for constructing attacks, building defenses, and benchmarking both https://github.com/cleverhans-lab/cleverhans 23 comments
- Breaking Linear Classifiers on ImageNet http://karpathy.github.io/2015/03/30/breaking-convnets/ 9 comments
- Black 23.11.0 documentation https://black.readthedocs.io/en/stable/ 3 comments
- [1412.6572] Explaining and Harnessing Adversarial Examples http://arxiv.org/abs/1412.6572 1 comment