csinva

imodels

Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).

csinva.github.io

Slides, paper notes, class notes, blog posts, and research on ML 📉, statistics 📊, and AI 🤖.

gpt-paper-title-generator

Generating paper titles (and more!) with GPT trained on data scraped from arXiv.

imodelsX

Scikit-learn friendly library to interpret, and prompt-engineer text datasets using large language models.

iprompt

Finding semantically meaningful and accurate prompts.

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. 👶🏻🧒🏾👩🏼‍🦰👱🏽‍♂️👴🏾

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 🍪

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.

dnn-ensemble

Testing the properties of ensembled neural networks.

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).

imodels-data

Preprocessed data for various popular tabular datasets to go along with imodels.

tpr-fmri

hummingbird-tracking

Code for tracking various things in hummingbird video

imodels-playground

Demos for visualizing how rule-based models work.

inverse-scaling

A prize for finding tasks that cause large language models to show inverse scaling

pybaobab-fork

Fork of pybaobabdt adding more customization.

csinva

readme

matrix-completion-llm

Training LLMs for matrix completion

pedidose-efic-analysis

Analyzing interview data from the PediDOSE EFIC interviews using LLMs.

pyGAM

[HELP REQUESTED] Generalized Additive Models in Python

awesome-llm-interpretability

A curated list of Large Language Model (LLM) Interpretability resources.

fmri

gam-experiments

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