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adversarial-attacks-pytorch

A pytorch implementations of Adversarial attacks and utils

adversarial-machine-learning-tutorial

adversarial machine learning tutorials

alocc-cvpr2018

Adversarially Learned One-Class Classifier for Novelty Detection (ALOCC)

ars

A descriptive anchor and stack for adversarial machine learning researchers

bgslibrary

A background subtraction library

bigdatar_examples

Data Science and Machine Learning Examples for Data Science Linux

bootstrap

The most popular HTML, CSS, and JavaScript framework for developing responsive, mobile first projects on the web.

christopher5106.github.io

class.vision

Intro to computer vision

conv_arithmetic

A technical report on convolution arithmetic in the context of deep learning (simple view)

convnext

Code release for ConvNeXt model

coveralls-python

Show coverage stats online via coveralls.io

cyclegan

Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.

deepspeech

DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices ranging from a Raspberry Pi 4 to high power GPU servers.

deepspeech.pytorch

Speech Recognition using DeepSpeech2.

densepose

A real-time approach for mapping all human pixels of 2D RGB images to a 3D surface-based model of the body

docker

important and useful Docker commands:

fc-densenet

Fully Convolutional DenseNets for semantic segmentation.

foolbox

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

ganlab

GAN Lab: An Interactive, Visual Experimentation Tool for Generative Adversarial Networks

hazm

Python library for digesting Persian text.

holiday-checkup

A python library for checking and detecting the holiday status of the Gregorian date in solar Hijri and lunar Hijri calendar

hydra

Hydra is a framework for elegantly configuring complex applications

kaldi-recipe

Steps to prepare the data and train a simple HMM-GMM and TDNN model in Kaldi

kaldi-tutorial

Kaldi tutorial

khalooei.github.io

lsa

LSA : Layer Sustainability Analysis framework for the analysis of layer vulnerability in a given neural network. LSA can be a helpful toolkit to assess deep neural networks and to extend the adversarial training approaches towards improving the sustainability of model layers via layer monitoring and analysis.

missingno

Missing data visualization module for Python.

mongo-java-driver

The Java driver for MongoDB

nosql

Neo4j + Mongodb sample codes