A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX
An adversarial example library for constructing attacks, building defenses, and benchmarking both
Implementation of ResNeXt models from the paper Aggregated Residual Transformations for Deep Neural Networks in Keras 2.0+.
Sandbox for training deep learning networks
Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference
End-to-end spoken language identification out of the box. Rewrite in progress for first release (version 1).
PCB Design Language: A programming way to design schematics.
LaTeX-template for russian Phd thesis
The Book "Generating Software Tests"
Latex code for making neural networks diagrams
Classification models trained on ImageNet. Keras.
Notebooks for learning deep learning
Defense-GAN: Protecting Classifiers Against Adversarial Attacks Using Generative Models (published in ICLR2018)
Implementation of triplet loss in TensorFlow
Deep Speaker: an End-to-End Neural Speaker Embedding System https://arxiv.org/pdf/1705.02304.pdf
Resources for "Natural Language Processing" Coursera course.