Discover vinayprabhu/Disentanglement_NEURIPS

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vinayprabhu

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On disentangling the menagerie of disentanglement papers

Network_Science_Meets_Deep_Learning

Designing Deep neural network architectures using topologies from the world of Complex Networks/network Science

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Kannada_MNIST

The main repository for the Kannada MNIST dataset

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X-is-all-you-need

A survey of all the 'X is all you need'

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Dataset_audits

All of the ImageNet meta-datasets and notebooks

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Favorite_PyPi_2020

Collection of my favorite Python packages from 2020

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Gait_FGSM

Code for 'Vulnerability of deep learning based gait biometric recognition to adversarial perturbations'

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hate_scaling

Repository associated with the paper

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Crimes_of_Vision_Datasets

JFC! What a hot mess. *Scream into void*

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CFD_MLImages

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BurningMan2019

My code for chip and terra for burning-man 2019

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Art_Attack

Generating adversarial examples using style transfer

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SPICEs

Out of distribution in recent DL/ML literature

Deepeyeballers

Ushering in deep learning's foray into the netherworld of eyeballing

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sub-sequence-search

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GaitID-2-SquatID

Accelerometric time series transfer learning

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Gainsboro-box-attacks-

An exploration into transfer learning and adversarial perturbations

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SenTenCE

A multi-sensor data compression framework using tensor decompositions for human activity classification

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Jpeg_Defense

A simple jpeg defense for the OpenAI attack

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Avant-garding-Raja-Ravi-Varma

In this work, I aspire to harness the fast, arbitrary artistic neural style transfer technique of [1], to sample images from Raja Ravi Varma’s body of work and transfer it to the avant garde Bengal school of art style captured in Abanindranath Tagore’s paintings. I used the open-sourced implementation of [1] that is part of the ’Magenta’ project available at [2]. References: [1] https://arxiv.org/pdf/1705.06830.pdf [2] https://github.com/tensorflow/magenta/tree/master/magenta/models/arbitrary_image_stylization

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Fun_random

Here's where all my Colab Pro abuse sits. I foresee zero worth in these

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Walk-cycles-and-accelerometry

Vizualizing Walking data via accelerometry

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Saliency_Image_Cropping

Companion website for the paper titled "Auditing saliency cropping algorithms" presented at WACV-2022 and the associated book chapter

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Colabarama

Here reside my colab scratches

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Grassmannian_tutorials

Set of Jupyter notebooks that deal with mining and generation of Grassmannian Line Packings

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artcrawl

Documenting the nature & depth of art-websites scraped in CommonCrawl

vinayprabhu

I found a secret!

Class-aware-splitting

Multi-class dataset splitting so as to maintain the class-wise ratios

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On-the-four-horsemen-of-ethical-malice

Materials for the Stanford HAI talk

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translation_foibles

The main repository for all the data and code associated with our paper

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Updating-GMMs

On the universal background model (UBM) framework

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NST_experiments

Neural style transfer experiments

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IOYKT

All the code I use for our podcast - 'If only you knew this!'

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twitter_bots

Collection of tweets from the recent bot attack

translate_bias

Our Africa-NLP paper

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QNN_gait

$SO(3)$-equivariant quaternion convolutional kernel + Convolutional Neural Networks for accelerometric gait

ICLR_TITLES

Word cloud of ICLR 2017 workshop submissions

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TrumpNTwitter

Tweet analysis 101

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Lyapunov_defense

Lyapunov exponents to defend against adversarial attacks

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ConfidenceInTheWild

A survey of how model confidence is exposed to ML developers

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SF_population

An awesome js time-series annotation tool + interesting census data + ihtml magic in a jupyter notebook

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vinayprabhu/Disentanglement_NEURIPS_2019

vinayprabhu

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