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Scott Fleming's Projects

biomedical icon biomedical

Tools for curating biomedical training data for large-scale language modeling

blip icon blip

PyTorch code for BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation

cvrisk icon cvrisk

R package to calculate cardiovascular risk scores

deep-learning-uncertainty icon deep-learning-uncertainty

Literature survey, paper reviews, experimental setups and a collection of implementations for baselines methods for predictive uncertainty estimation in deep learning models.

eli5 icon eli5

A library for debugging/inspecting machine learning classifiers and explaining their predictions

evals icon evals

Evals is a framework for evaluating OpenAI models and an open-source registry of benchmarks.

grf icon grf

Generalized Random Forests

latent_ode icon latent_ode

Code for "Latent ODEs for Irregularly-Sampled Time Series" paper

medvidqacl icon medvidqacl

Implementation of the Benchmark Approaches for Medical Instructional Video Classification (MedVidCL) and Medical Video Question Answering (MedVidQA)

metal icon metal

Snorkel MeTaL: A framework for training models with multi-task weak supervision

mimic-code icon mimic-code

MIMIC Code Repository: Code shared by the research community for the MIMIC-III database

pandas icon pandas

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

pyhealth-ed icon pyhealth-ed

A Python Library for Healthcare Predictive Tasks, Extended for MIMIC-ED

rl-missingness icon rl-missingness

Code used for analysis in the NeurIPS ML4H Workshop Paper, "Missingness as Stability: Understanding the Structure of Missingness in Longitudinal EHR data and its Impact on Reinforcement Learning in Healthcare"

transformers icon transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

xgboostlss icon xgboostlss

An extension of XGBoost to probabilistic forecasting.

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