vinayprabhu
PhD , ECE, Carnegie Mellon University. Machine Learning, Data Sciences and resisting the simulacra. Founder/CEO HAL51.AI Burner.
UnifyIDSF Bay Area
Pinned Repositories
Art_Attack
Generating adversarial examples using style transfer
Crimes_of_Vision_Datasets
JFC! What a hot mess. *Scream into void*
Dataset_audits
All of the ImageNet meta-datasets and notebooks
Disentanglement_NEURIPS_2019
On disentangling the menagerie of disentanglement papers
Favorite_PyPi_2020
Collection of my favorite Python packages from 2020
Gait_FGSM
Code for 'Vulnerability of deep learning based gait biometric recognition to adversarial perturbations'
hate_scaling
Repository associated with the paper
Kannada_MNIST
The main repository for the Kannada MNIST dataset
Network_Science_Meets_Deep_Learning
Designing Deep neural network architectures using topologies from the world of Complex Networks/network Science
X-is-all-you-need
A survey of all the 'X is all you need'
vinayprabhu's Repositories
vinayprabhu/Network_Science_Meets_Deep_Learning
Designing Deep neural network architectures using topologies from the world of Complex Networks/network Science
vinayprabhu/Kannada_MNIST
The main repository for the Kannada MNIST dataset
vinayprabhu/Disentanglement_NEURIPS_2019
On disentangling the menagerie of disentanglement papers
vinayprabhu/BurningMan2019
My code for chip and terra for burning-man 2019
vinayprabhu/Art_Attack
Generating adversarial examples using style transfer
vinayprabhu/Gainsboro-box-attacks-
An exploration into transfer learning and adversarial perturbations
vinayprabhu/GaitID-2-SquatID
Accelerometric time series transfer learning
vinayprabhu/sub-sequence-search
Similarity search, distance estimation and moving average maladies in Python
vinayprabhu/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
vinayprabhu/Fun_random
Here's where all my Colab Pro abuse sits. I foresee zero worth in these
vinayprabhu/Grassmannian_tutorials
Set of Jupyter notebooks that deal with mining and generation of Grassmannian Line Packings
vinayprabhu/The-Neural-Network-A-Z-List
There are too many neural nets...Let's start collect them all!
vinayprabhu/Augmentor
Image augmentation library in Python for machine learning.
vinayprabhu/ConfidenceInTheWild
A survey of how model confidence is exposed to ML developers
vinayprabhu/IOYKT
All the code I use for our podcast - 'If only you knew this!'
vinayprabhu/Lyapunov_defense
Lyapunov exponents to defend against adversarial attacks
vinayprabhu/On-the-four-horsemen-of-ethical-malice
Materials for the Stanford HAI talk
vinayprabhu/QNN_gait
$SO(3)$-equivariant quaternion convolutional kernel + Convolutional Neural Networks for accelerometric gait
vinayprabhu/TrumpNTwitter
Tweet analysis 101
vinayprabhu/ArtOfKarlTheFog
This is for my contribution to the BYO Art Community Gallery Night at the Make Factory, SF
vinayprabhu/Burning_Man_2018
My burning man code and data
vinayprabhu/ConvNets-TensorFlow2
⛵️ Implementation a variety of popular Image Classification Models using TensorFlow2. [ResNet, GoogLeNet, VGG, Inception-v3, Inception-v4, MobileNet, MobileNet-v2, ShuffleNet, ShuffleNet-v2, etc...]
vinayprabhu/CrowPenArt
Reproducible open-sourced digital art.
vinayprabhu/deterministic_init_Grassmannian
Deterministic initialization of Deep Neural Networks
vinayprabhu/Gibberish
How do ML Lang_ID classifiers handle human generated 'artistic' gibberish
vinayprabhu/Ginger_3_whole_foods
vinayprabhu/SAT
Seed-Augment-Transfer
vinayprabhu/Series2GAF
simple time series encoding package
vinayprabhu/Singapore_botanic_gardens
Dataset I collected on 12/18/2017 during my visit to Singapore on the sidelines of the DLS workshop
vinayprabhu/Single-sinusoid-frequency-estimate
Cao et al's method for single sinusoid frequency estimate