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[NeurIPS 2024 Datasets and Benchmark Track Oral] MedCalc-Bench: Evaluating Large Language Models for Medical Calculations
Python workflow for generating benchmark datasets and machine learning models from the MIMIC-IV-ED database.
Python bindings and scikit-learn interface for the Operon library for symbolic regression.
Official repository for EchoFM: Foundation Model for Generalizable Echocardiogram Analysis
A benchmark of mortality risk prediction models using electrocardiograms.
A self-supervised foundation ECG model for broad and scalable cardiac applications
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
A collection of deep learning models for ECG data processing based on fairseq framework
[ICML 2021] Self-supervised pre-training of AI models on ECG data with CLOCS
PyTorch implementations of neural networks for timeseries classification
Benchmark time series data sets for PyTorch
An electrocardiogram analysis foundation model.
DSPy: The framework for programming—not prompting—language models
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow
A guidance language for controlling large language models.
Singularity has been renamed to Apptainer as part of us moving the project to the Linux Foundation. This repo has been persisted as a snapshot right before the changes.
Proceedings of Conference on Health, Inference, and Learning 2023
Unsupervised Domain Adaptation for Time Series Classification
Unofficial Pytorch implementation of Inception layer for time series classification and its possible transposition for further use in Variational AutoEncoder