Rishabh Iyer's Projects
CS 7301: Spring 2021 Course on Advanced Topics in Optimization in Machine Learning
Caffe: a fast open framework for deep learning.
CORDS: COResets and Data Subset selection
A web app for ranking computer science departments according to their research output in selective venues.
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.)
Online Learning built on top of Jensen
Slides and other material (e.g. Demos) of my ML Courses CS 6375 and CS 4375 at UT Dallas
Open Source Computer Vision Library
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.)
Material for my course: Optimization in Machine Learning
95.47% on CIFAR10 with PyTorch