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csinva.github.io Public
Slides, paper notes, class notes, blog posts, and research on ML π, statistics π, and AI π€.
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imodelsX Public
Interpret text data using LLMs (scikit-learn compatible).
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clinical-rule-development Public
Building and vetting clinical decision rules.
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clinical-rule-survey Public
Analyzing clinical decision instruments through the lens of data and large language models.
machine-learning natural-language-processing deep-learning python3 artificial-intelligence web-scraping clinical-data6 UpdatedMar 14, 2025 -
Analyzing interview data from the PediDOSE EFIC interviews using LLMs.
2 UpdatedMar 14, 2025 -
imodels Public
Interpretable ML package π for concise, transparent, and accurate predictive modeling (sklearn-compatible).
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fmri Public
Experiments with language fMRI data from Alex Huth lab
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cookiecutter-ml-research Public template
A logical, reasonably standardized, but flexible project structure for conducting ml research πͺ
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tabpfn-v2-finetune Public
Forked from LennartPurucker/finetune_tabpfn_v2Code for finetuning TabPFN on one downstream tabular dataset.
Python BSD 3-Clause "New" or "Revised" License UpdatedFeb 11, 2025 -
gan-vae-pretrained-pytorch Public
Pretrained GANs + VAEs + classifiers for MNIST/CIFAR in pytorch.
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Conference-Acceptance-Rate Public
Forked from lixin4ever/Conference-Acceptance-RateAcceptance rates for the major AI conferences
Jupyter Notebook MIT License UpdatedDec 27, 2024 -
interpretable-embeddings Public
Interpretable text embeddings by asking LLMs yes/no questions (NeurIPS 2024)
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context-review Public
Forked from LengerichLab/context-reviewHTML Creative Commons Attribution 4.0 International UpdatedSep 3, 2024 -
news-title-bias Public
Scraping and analyzing political bias in news titles using data from allsides.com
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awesome-llm-interpretability Public
Forked from JShollaj/awesome-llm-interpretabilityA curated list of Large Language Model (LLM) Interpretability resources.
UpdatedFeb 6, 2024 -
data-viz-utils Public
Functions for easily making publication-quality figures with matplotlib.
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tree-prompt-experiments Public
Create a tree of prompts during training that improves efficiency and accuracy.
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matrix-completion-llm Public
Training LLMs for matrix completion
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imodels-data Public
Preprocessed data for various popular tabular datasets to go along with imodels.
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iprompt Public
Finding semantically meaningful and accurate prompts.
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r2d3-decision-tree Public
Forked from yamad/r2d3-decision-treeA clone of the animated decision tree at http://www.r2d3.us/ in React, React-Motion, and d3
JavaScript UpdatedOct 29, 2023 -
llm-guided-data-explanation Public
Explaining data to humans with linear models + LLM hints.
HTML MIT License UpdatedOct 24, 2023 -
tree-prompt Public
Tree prompting: easy-to-use scikit-learn interface for improved prompting.
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gpt-paper-title-generator Public
Generating paper titles (and more!) with GPT trained on data scraped from arXiv.
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mdl-complexity Public
MDL Complexity computations and experiments from the paper "Revisiting complexity and the bias-variance tradeoff".
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pybaobab-fork Public
Fork of pybaobabdt adding more customization.
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matching-with-gans Public
Matching in GAN latent space for better bias benchmarking and semantic image editing. πΆπ»π§πΎπ©πΌβπ¦°π±π½ββοΈπ΄πΎ