Rajiv Shah

LLM-Evaluation. Sample notebooks and prompts for LLM evaluation

image_keras. Building an image classifier using keras

tensorflow_shiny. A R/Shiny app for interactive RNN tensorflow models

NBA_SportVu. Scripts for analyzing NBA sportvu motion data

aftershocks_issues. Issues with Deep Learning of Aftershocks by DeVries

BasketballData. Groff

outliers_shiny. 2D Outlier Analysis using Shiny

inter_workshop. Workshop materials for ODSC 2019 Interpretability Talk

huggingface-demos. Jupyter Notebook

eat_melon_deepq. A Deep Q Reinforcement Learning Demo

snowflake-notebooks. Unofficial snowflake notebooks created by me

deep-RL. Deep Reinforcement Learning

makeMoE_simpsons. From scratch implementation of a sparse mixture of experts language model inspired by Andrej Karpathy's makemore :)

contextualai-gemini-research-agent. Get started with building Fullstack Agents using Gemini 2.5, Contextual AI RAG Agents, and LangGraph

nanoGPT_simpsons. Learning GPT through the simpsons

dlgroup. Deep Learning Group

rulez. notebooks using interpretable models

linear-optimization-fantasy-football. Using lpSolve library to find perfect DraftKings lineup

ankle-breaker. R

inter-examples. Interpretability Examples

next-gen-scrapy. Python

NSL-KDD-Dataset.

7thCircuit. Textual Analysis of 7th Circuit using Word2Vec and T-SNE

neuralslimevolley. Neural Slime Volleyball

document_cluster. A guide to document clustering in Python

interpretable-ml-book. Book about interpretable machine learning

NFL_Coaches_Scraper. Scrapes for information on coaches for NFL Teams

widedeep_notebooks. A few notebooks for exploring the pytorch widedeep package

BigDataBowl. Jupyter Notebook

rajiv-shah-website. My personal website at rajivshah.com

contextual-nextjs. TypeScript

DivvyBikes. Repo for NYC Taxis: A Day in the Life, a data visualization that shows the movements and earnings of a single NYC taxi over 24 hours.