Rishabh Iyer's repositories
AdvancedOptML
CS 7301: Spring 2021 Course on Advanced Topics in Optimization in Machine Learning
OptimizationML
Material for my course: Optimization in Machine Learning
OptimizationDemos
Some simple demos I use in my optimization in ML course. Includes implementations of ML loss functions (Logistic Loss, SVM Loss, ..) and optimization algorithms (gradient descent, accelerated variants, conjugate GD, etc.)
pytorch-cifar
95.47% on CIFAR10 with PyTorch
cords
CORDS: COResets and Data Subset selection
CSrankings
A web app for ranking computer science departments according to their research output in selective venues.
jensen
A C++ toolkit for Convex Optimization (Logistic Loss, SVM, SVR, Least Squares etc.), Convex Optimization algorithms (LBFGS, TRON, SGD, AdsGrad, CG, Nesterov etc.) and Classifiers/Regressors (Logistic Regression, SVMs, Least Squares Regression etc.)