Stars
Prov-GigaPath: A whole-slide foundation model for digital pathology from real-world data
create equity-focused cohort selection flow diagrams
OMOP standardization pipeline for ICU databases
AmsterdamUMCdb - Freely Accessible ICU database. Please access our Open Access manuscript at https://doi.org/10.1097/CCM.0000000000004916
Implementation of the "elastic anonymizer" algorithm, using a fine tuned BERT model to recognize sensitive information (entities) in plain text.
Zero-copy MPI communication of JAX arrays, for turbo-charged HPC applications in Python ⚡
A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.
Optimal transport tools implemented with the JAX framework, to solve large scale matching problems of any flavor.
Library for reading and processing ML training data.
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
Oryx is a library for probabilistic programming and deep learning built on top of Jax.
Findpapers: A tool for helping researchers who are looking for related works
Resources for Bayesian data analysis, causal inference, epistemology, etc.
Schema definitions and Python types for Medical Event Data Standard, a standard for medical event data such as EHR and claims data
CLU lets you write beautiful training loops in JAX.
Analyzing different ML model comparison metrics
Create "Table 1" for research papers in Python
A suite of test scenarios for multi-agent reinforcement learning.
MIMIC Code Repository: Code shared by the research community for the MIMIC family of databases
JAX - A curated list of resources https://github.com/google/jax
TensorFlow implementation for the GP-VAE model described in https://arxiv.org/abs/1907.04155