Eugene Ilyushin (Ilyushin)

Eugene Ilyushin

Ilyushin

Location:Moscow

Home Page:https://ilyushin.science/

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Eugene Ilyushin's repositories

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foolbox

A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX

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cleverhans

An adversarial example library for constructing attacks, building defenses, and benchmarking both

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Keras-ResNeXt

Implementation of ResNeXt models from the paper Aggregated Residual Transformations for Deep Neural Networks in Keras 2.0+.

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imgclsmob

Sandbox for training deep learning networks

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signal-transformation

Widely used signal transformation using TensorFlow API.

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adversarial-robustness-toolbox

Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference

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lidbox

End-to-end spoken language identification out of the box. Rewrite in progress for first release (version 1).

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pcbdl

PCB Design Language: A programming way to design schematics.

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Russian-Phd-LaTeX-Dissertation-Template

LaTeX-template for russian Phd thesis

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install-nvidia-drivers

There are some script, which help you to install Nvidia drivers on Ubuntu Server 18.04.4 LTS.

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rec-tool

Tool for simplifying to perform experiments with collaborative filtering models

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fuzzingbook

The Book "Generating Software Tests"

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PlotNeuralNet

Latex code for making neural networks diagrams

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classification_models

Classification models trained on ImageNet. Keras.

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dlaicourse

Notebooks for learning deep learning

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google-interview-university

A complete daily plan for studying to become a Google software engineer.

License:CC-BY-SA-4.0Stargazers:119Forks:40Issues:0

defensegan

Defense-GAN: Protecting Classifiers Against Adversarial Attacks Using Generative Models (published in ICLR2018)

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tensorflow-triplet-loss

Implementation of triplet loss in TensorFlow

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deep-speaker

Deep Speaker: an End-to-End Neural Speaker Embedding System https://arxiv.org/pdf/1705.02304.pdf

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natural-language-processing

Resources for "Natural Language Processing" Coursera course.

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