rishabhk108
Currently Assistant Prof. at CSE @ UTD. 10+ years experience in Deep Learning, AI and ML. Ph.D. and PostDoc from UW and previously ML Researcher at Microsoft.
University of Texas at DallasDallas
Pinned Repositories
cords
Reduce end to end training time from days to hours (or hours to minutes), and energy requirements/costs by an order of magnitude using coresets and data selection.
distil
DISTIL: Deep dIverSified inTeractIve Learning. An active/inter-active learning library built on py-torch for reducing labeling costs.
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.)
AdvancedOptML
CS 7301: Spring 2021 Course on Advanced Topics in Optimization in Machine Learning
caffe
Caffe: a fast open framework for deep learning.
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
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's Repositories
rishabhk108/AdvancedOptML
CS 7301: Spring 2021 Course on Advanced Topics in Optimization in Machine Learning
rishabhk108/MLClass
Slides and other material (e.g. Demos) of my ML Courses CS 6375 and CS 4375 at UT Dallas
rishabhk108/OptimizationML
Material for my course: Optimization in Machine Learning
rishabhk108/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.)
rishabhk108/jensen-ol
Online Learning built on top of Jensen
rishabhk108/pytorch-cifar
95.47% on CIFAR10 with PyTorch
rishabhk108/caffe
Caffe: a fast open framework for deep learning.
rishabhk108/cords
CORDS: COResets and Data Subset selection
rishabhk108/CSrankings
A web app for ranking computer science departments according to their research output in selective venues.
rishabhk108/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.)
rishabhk108/opencv
Open Source Computer Vision Library
rishabhk108/rishabhk108.github.io