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advancedoptml

CS 7301: Spring 2021 Course on Advanced Topics in Optimization in Machine Learning

caffe

Caffe: a fast open framework for deep learning.

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.)

jensen-ol

Online Learning built on top of Jensen

mlclass

Slides and other material (e.g. Demos) of my ML Courses CS 6375 and CS 4375 at UT Dallas

opencv

Open Source Computer Vision Library

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.)

optimizationml

Material for my course: Optimization in Machine Learning

pytorch-cifar

95.47% on CIFAR10 with PyTorch

rishabhk108.github.io