irenetrampoline / papersLinks
notes on ML/CS/etc articles
☆47Updated 5 years ago
Alternatives and similar repositories for papers
Users that are interested in papers are comparing it to the libraries listed below
Sorting:
- Code to study the generalisability of benchmark models on non-stationary EHRs.☆14Updated 5 years ago
- BMSC-GA 4493 Deep Learning in Medicine - Spring 2019☆15Updated 6 years ago
- Tracking books that I {have, currently, or plan to} read☆18Updated 4 years ago
- Miscellaneous tools for clinical ML☆29Updated 7 years ago
- This repository contains the resources used for presentation/discussion in weekly iRE Lab meetings.☆14Updated 7 years ago
- Inference and Representation (DS-GA-1005, CSCI-GA.2569), fall 18☆66Updated 6 years ago
- An attempted survey of the current state of Computational Phenotyping, i.e. the use of deep learning for extracting insight from large El…☆22Updated 8 years ago
- Materials for O'Reilly DL 4 NLP tutorial (NYC, June 2017)☆37Updated 7 years ago
- A living collection of deep learning problems☆35Updated 8 years ago
- Weak supervision methods for extracting real world evidence from EHRs☆33Updated 5 years ago
- ☆70Updated 3 years ago
- Public course repo☆24Updated 6 years ago
- AMIA submission examining note-derived vector representations☆10Updated 2 years ago
- Unsupervised Deep Learning and Representation Learning Tutorial☆13Updated 9 years ago
- ☆12Updated 8 years ago
- Code and data for the experiments in "On Fairness and Calibration"☆51Updated 3 years ago
- ☆17Updated 5 years ago
- ☆12Updated 8 years ago
- Weekly humanitarian AI reading group at Mila.☆21Updated 6 years ago
- Twitterbot that uses machine learning to curate interesting arXiv papers☆43Updated 7 years ago
- This repository provides a summarization of recent empirical studies/human studies that measure human understanding with machine explanat…☆13Updated 10 months ago
- A torch package for learning diagnosis models from temporal patient data.☆116Updated 7 years ago
- Code for "Evaluating Explainable AI: Which Algorithmic Explanations Help Users Predict Model Behavior?"☆45Updated last year
- This is a public collection of papers related to machine learning model interpretability.☆26Updated 3 years ago
- ☆87Updated 5 years ago
- This is a benchmark to evaluate machine learning local explanaitons quality generated from any explainer for text and image data☆30Updated 4 years ago
- References for Papers at the Intersection of Causality and Fairness☆18Updated 6 years ago
- Contains public materials for students enrolled in MITx: 6.871x, Machine Learning for Healthcare☆20Updated 3 years ago
- This repository contains the full code for the "Towards fairness in machine learning with adversarial networks" blog post.☆117Updated 4 years ago
- The machine learning library you really understand.☆31Updated last year