A self-supervised foundation ECG model for broad and scalable cardiac applications

Pytorch port for Parametric Umap

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.

Cross-Care: Assessing the Healthcare Implications of Pre-training Data on Language Model Bias

DSPy: The framework for programming—not prompting—language models

Evolutionary decision trees

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.

Parameter-Free Optimizers for Pytorch

Library of autoencoders for sequential data

Apptainer: Application containers for Linux

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

xauc https://arxiv.org/abs/1902.05826

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

Official electron build of draw.io

PyWavelets - Wavelet Transforms in Python

Deep Learning for Time Series Classification