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Network_Science_Meets_Deep_Learning
Designing Deep neural network architectures using topologies from the world of Complex Networks/network ScienceKannada_MNIST
The main repository for the Kannada MNIST datasetX-is-all-you-need
A survey of all the 'X is all you need'Disentanglement_NEURIPS_2019
On disentangling the menagerie of disentanglement papersDataset_audits
All of the ImageNet meta-datasets and notebooksFavorite_PyPi_2020
Collection of my favorite Python packages from 2020Gait_FGSM
Code for 'Vulnerability of deep learning based gait biometric recognition to adversarial perturbations'hate_scaling
Repository associated with the paperCrimes_of_Vision_Datasets
JFC! What a hot mess. *Scream into void*CFD_MLImages
BurningMan2019
My code for chip and terra for burning-man 2019Art_Attack
Generating adversarial examples using style transferSPICEs
Out of distribution in recent DL/ML literatureDeepeyeballers
Ushering in deep learning's foray into the netherworld of eyeballingGaitID-2-SquatID
Accelerometric time series transfer learningGainsboro-box-attacks-
An exploration into transfer learning and adversarial perturbationsSenTenCE
A multi-sensor data compression framework using tensor decompositions for human activity classificationJpeg_Defense
A simple jpeg defense for the OpenAI attackAvant-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_stylizationFun_random
Here's where all my Colab Pro abuse sits. I foresee zero worth in theseWalk-cycles-and-accelerometry
Vizualizing Walking data via accelerometrySaliency_Image_Cropping
Companion website for the paper titled "Auditing saliency cropping algorithms" presented at WACV-2022 and the associated book chapterColabarama
Here reside my colab scratchesGrassmannian_tutorials
Set of Jupyter notebooks that deal with mining and generation of Grassmannian Line Packingsartcrawl
Documenting the nature & depth of art-websites scraped in CommonCrawlvinayprabhu
I found a secret!Class-aware-splitting
Multi-class dataset splitting so as to maintain the class-wise ratiosOn-the-four-horsemen-of-ethical-malice
Materials for the Stanford HAI talktranslation_foibles
The main repository for all the data and code associated with our paperUpdating-GMMs
On the universal background model (UBM) frameworkNST_experiments
Neural style transfer experimentsIOYKT
All the code I use for our podcast - 'If only you knew this!'twitter_bots
Collection of tweets from the recent bot attacktranslate_bias
Our Africa-NLP paperQNN_gait
$SO(3)$-equivariant quaternion convolutional kernel + Convolutional Neural Networks for accelerometric gaitICLR_TITLES
Word cloud of ICLR 2017 workshop submissionsTrumpNTwitter
Tweet analysis 101Lyapunov_defense
Lyapunov exponents to defend against adversarial attacksConfidenceInTheWild
A survey of how model confidence is exposed to ML developersSF_population
An awesome js time-series annotation tool + interesting census data + ihtml magic in a jupyter notebookLove Open Source and this site? Check out how you can help us