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followers: 12.0 following: 6.0 repos: 57.0 gists: 0.0

Name: Krishnateja Killamsetty

Type: User

Company: University of Texas at Dallas

Bio: PhD Student at University of Texas at Dallas, Research Interests: Data Efficient Machine Learning, Meta Learning, Robust Machine Learning

Twitter: krishnatejakk

Location: Dallas

Blog: https://krishnatejakillamsetty.me

👋 Hi, I am Krishnateja Killamsetty, a third year PhD student at University of Texas at Dallas.
👀 I’m interested in the research of scalable, data efficient and robust machine learning.
🌱 I’m currently keeping myself busy with learning various intricacies and developments in machine learning.
📫 You can reach me at [email protected]

Krishnateja Killamsetty's Projects

lcbench

A learning curve benchmark on OpenML data

m-pilia.github.io

Source code of my personal website

mlo-lab

(Pre-release) An easy-to-use, flexible website template for labs, with automatic citations, GitHub tag imports, pre-built components, and more

mmdetection

OpenMMLab Detection Toolbox and Benchmark

nodis

Pytorch code for NODIS: Neural Ordinary Differential Scene Understanding

obsidian-template

Starter templates for Obsidian

obsidian_notes

optimizationml

Material for my course: Optimization in Machine Learning

prompt-engineering-guide

:octopus: Guides, papers, and resources for prompt engineering

promptpapers

Must-read papers on prompt-based tuning for pre-trained language models.

py-irt

Bayesian IRT models in Python

pybnn

Bayesian neural network package

pylearningcurvepredictor

predicting learning curves in python

pytorch-consistency-regularization

PyTorch implementation of consistency regularization methods for semi-supervised learning

really-awesome-gan

A list of papers on Generative Adversarial (Neural) Networks

reinforcement-learning-carla

Reinforcement learning using CARLA simulator

self-driving-car

Udacity -> Self-Driving car -> Challenge 2

submodlib

submodlib is an efficient and scalable library for submodular optimization which finds its application in summarization, data subset selection, hyper parameter tuning etc.

supcontrast

PyTorch implementation of "Supervised Contrastive Learning" (and SimCLR incidentally)

trust

Efficiently search and mine for specific (targeted) classes/slices in your dataset to improve model performance and personalize your models.

udacitycpp

Udacity C++ Nanodegree Program

viskit

rllab's viskit with some added features

wr-ssl

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