Sitemap
A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
Pages
Posts
Maximum Likelihood vs Maximum A Posteriori estimate
Published:
Key differences and similarities between two of the most common point estimators
Normalization Methods
Published:
Different normalization methods that can be used to mitigate internal covariate shift and improve model performance.
Statistics and Probability Basics
Published:
Some basic theorems and results in probability and statistics that form the basis for many concepts in machine learning.
OpenAI CLIP
Published:
CLIP jointly learns image and text representations which enables it to perform zero-shot image classification
Transformer Models
Published:
The Transformer is a deep learning model that uses “attention” to determine the relative importance of various parts of the input data.
Generative Adversarial Networks
Published:
GANs are a type of generative models that try to learn the underlying distribution of a given dataset by making two sub-models compete against each other in a zero sum game.
Linux CLI Cheat Sheet
Published:
Some useful commands and shortcuts for linux command line.
about-me
portfolio
Naive Bayes for Text Classification
Published:
A simple and basic implementation of Naive Bayes for text classification
NLP with Disaster Tweets
Published:
Kaggle ‘Getting Started Prediction Competition’ for NLP.
Adversarial Examples
Published:
Creating adversarial examples for image classifiers using fast gradient sign method
GAN Implementation
Published:
Implementing a basic GAN in Tensorflow
Analysis of Reinforcement Learning Algorithms for Continuous-State MDPs
Published:
We examine three algorithms that work for continuous state and action spaces – REINFORCE with Baseline, One-Step Actor-Critic for episodic tasks, and Episodic Semi-Gradient n-step SARSA.
Comparison of Image Recovery Algorithms
Published:
We compare Plug-and-Play ADMM and Total Variation Denoising algorithms for recovering images distorted by Gaussian blur and additive white Gaussian noise.
Personalized News Summarizer
Published:
A personalized news page that summarizes real-time news using the BART model from HuggingFace, using a MongoDB backend and hosted on Google Cloud Platform
Mapping pet preferences in different geographical regions
Published:
A web app that uses object detection and Google Street View API to map pet preferences in different geographical regions.
Darry - A ChatGPT powered customer service bot
Published:
Demo of a chat bot for an e-commerce website built using ChatGPT that can answer questions about products and orders in real time by interacting with the website’s database.
Seldonian Machine Learning Toolkit
Published:
Safe and fair machine learning for researchers, data scientists, and beginners.
Microsoft ML Wrappers
Published:
A unified wrapper for various ML frameworks - to have one uniform scikit-learn format for predict and predict_proba functions
Microsoft Responsible AI Toolbox
Published:
Responsible AI Toolbox is a suite of tools providing model and data exploration and assessment user interfaces and libraries that enable a better understanding of AI systems.
LLM Eval: Benchmarking Suite for Large Language Models
Published:
Benchmarking and evaluation suite for large language models
projects
publications
ICU-Sepsis: A Benchmark MDP Built from Real Medical Data
Published in Reinforcement Learning Conference, 2024
We propose a novel benchmark MDP for sepsis treatment in the ICU built using medical data from real patients.
Judging the Judges: Evaluating Alignment and Vulnerabilities in LLMs-as-Judges
Published in Under Review, NeurIPS, 2024
A comprehensive study of the LLM-as-a-judge paradigm in a controlled setup that reveals new results about its strengths and weaknesses.
teaching
Online Tutor
Tutor, Board of Secondary Education Rajasthan, 2020
Volunteer online tutor for high school and middle school students at Govt. Sr. Sec. School Mahapura, Rajasthan, India.
Student-Athlete Tutor
Tutor, UMass Athletics, University of Massachusetts Amherst, 2023
Athletics Tutor at the Academic Success office in the Department of Athletics for the Spring 2023, Fall 2023, and Spring 2024 semesters.
Grader - Reinforcement Learning
Teaching Assistant, College of Information and Computer Science, UMass Amherst, 2023
Grader for the graduate course COMPSCI 687: Reinforcement Learning for the Fall 2023 semester.
Grader - Intro to Simulation
Teaching Assistant, College of Information and Computer Science, UMass Amherst, 2024
Grader for the graduate course COMPSCI 550 : Introduction to Simulation for the Spring 2024 semester.