Chandan Singh's repositories
csinva.github.io
Slides, paper notes, class notes, blog posts, and research on ML π, statistics π, and AI π€.
gpt-paper-title-generator
Generating paper titles (and more!) with GPT trained on data scraped from arXiv.
tree-prompt
Tree prompting: easy-to-use scikit-learn interface for improved prompting.
matching-with-gans
Matching in GAN latent space for better bias benchmarking and semantic image editing. πΆπ»π§πΎπ©πΌβπ¦°π±π½ββοΈπ΄πΎ
interpretable-embeddings
Interpretable text embeddings by asking LLMs yes/no questions (NeurIPS 2024)
data-viz-utils
Functions for easily making publication-quality figures with matplotlib.
mdl-complexity
MDL Complexity computations and experiments from the paper "Revisiting complexity and the bias-variance tradeoff".
cookiecutter-ml-research
A logical, reasonably standardized, but flexible project structure for conducting ml research πͺ
iai-clinical-decision-rule
Interpretable clinical decision rules for predicting intra-abdominal injury.
clinical-rule-analysis
Analyzing clinical decision instruments through the lens of data and large language models.
imodels-data
Preprocessed data for various popular tabular datasets to go along with imodels.
pybaobab-fork
Fork of pybaobabdt adding more customization.
tree-prompt-experiments
Create a tree of prompts during training that improves efficiency and accuracy.
acronym-generator
Generator acronyms given a sequence of words (useful for making paper titles).
inverse-scaling
A prize for finding tasks that cause large language models to show inverse scaling
news-title-bias
Scraping and analyzing political bias in news titles using data from allsides.com
matrix-completion-llm
Training LLMs for matrix completion
pedidose-efic-analysis
Analyzing interview data from the PediDOSE EFIC interviews using LLMs.
awesome-llm-interpretability
A curated list of Large Language Model (LLM) Interpretability resources.
llm-guided-data-explanation
Explaining data to humans with linear models + LLM hints.
r2d3-decision-tree
A clone of the animated decision tree at http://www.r2d3.us/ in React, React-Motion, and d3