Pinned Repositories
Alchemy
angular-client-side-auth
One way to implement authentication/authorization in Angular applications
bootstrap
Sleek, intuitive, and powerful front-end framework for faster and easier web development.
chrome-app-samples
Chrome Apps
clearnlp-demo
Demo classes for ClearNLP
csce612
decision-trees
decision trees that work with many features that assume discrete values. At each step the tree splits on the feature which provides the maximum information.
EvadeML-Zoo
Benchmarking and Visualization Tool for Adversarial Machine Learning
explanations_can_be_manipulated
reference implementation for "explanations can be manipulated and geometry is to blame"
Tab-Bundle
A chrome extension that lets you mark your bookmarks as active or inactive, giving you greater control over them.
irajvardhan's Repositories
irajvardhan/Tab-Bundle
A chrome extension that lets you mark your bookmarks as active or inactive, giving you greater control over them.
irajvardhan/Alchemy
irajvardhan/angular-client-side-auth
One way to implement authentication/authorization in Angular applications
irajvardhan/bootstrap
Sleek, intuitive, and powerful front-end framework for faster and easier web development.
irajvardhan/chrome-app-samples
Chrome Apps
irajvardhan/clearnlp-demo
Demo classes for ClearNLP
irajvardhan/csce612
irajvardhan/decision-trees
decision trees that work with many features that assume discrete values. At each step the tree splits on the feature which provides the maximum information.
irajvardhan/EvadeML-Zoo
Benchmarking and Visualization Tool for Adversarial Machine Learning
irajvardhan/explanations_can_be_manipulated
reference implementation for "explanations can be manipulated and geometry is to blame"
irajvardhan/FeatureSqueezing
Detecting Adversarial Examples in Deep Neural Networks
irajvardhan/fooling_network_interpretation
Official PyTorch implementation for our ICCV 2019 paper - Fooling Network Interpretation in Image Classification
irajvardhan/google-oauth-demo-app
irajvardhan/hell-vim
Playground for vim
irajvardhan/Hello-ML
Repository to implement new ML-based techniques
irajvardhan/how-to-code-samples
irajvardhan/hw-acceptance-unit-test-cycle
irajvardhan/hw-rails-intro
irajvardhan/hw-ruby-intro
Ruby Introduction Assignment for Agile Development using Ruby on Rails
irajvardhan/learn-go
Learning golang
irajvardhan/lime
Lime: Explaining the predictions of any machine learning classifier
irajvardhan/MagNet
MagNet: a Two-Pronged Defense against Adversarial Examples
irajvardhan/natty
Java natural language date parser
irajvardhan/nn_robust_attacks
Robust evasion attacks against neural network to find adversarial examples
irajvardhan/PhD-Qual-Practice
irajvardhan/platform_development
irajvardhan/pytorch-cw2
A rich-documented PyTorch implementation of Carlini-Wagner's L2 attack.
irajvardhan/pytorch-grad-cam
PyTorch implementation of Grad-CAM
irajvardhan/rottenpotatoes-rails-intro
RottenPotatoes app skeleton for saasbook/hw-rails-intro
irajvardhan/Understanding-NN
Tensorflow tutorial for various Deep Neural Network visualization techniques