csinva
Senior researcher @Microsoft interpreting ML models in science and medicine. PhD from UC Berkeley.
Senior researcherMicrosoft research
Pinned Repositories
csinva.github.io
Slides, paper notes, class notes, blog posts, and research on ML ๐, statistics ๐, and AI ๐ค.
gan-vae-pretrained-pytorch
Pretrained GANs + VAEs + classifiers for MNIST/CIFAR in pytorch.
gpt-paper-title-generator
Generating paper titles (and more!) with GPT trained on data scraped from arXiv.
hierarchical-dnn-interpretations
Using / reproducing ACD from the paper "Hierarchical interpretations for neural network predictions" ๐ง (ICLR 2019)
imodels
Interpretable ML package ๐ for concise, transparent, and accurate predictive modeling (sklearn-compatible).
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.
deep-explanation-penalization
Code for using CDEP from the paper "Interpretations are useful: penalizing explanations to align neural networks with prior knowledge" https://arxiv.org/abs/1909.13584
covid19-severity-prediction
Extensive and accessible COVID-19 data + forecasting for counties and hospitals. ๐
csinva's Repositories
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