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Showing results

Deep survival analysis made easy

Python 52 7 Updated Jul 19, 2024
Python 3 Updated Mar 14, 2023

Official PyTorch implementation of "No Double Descent in Principal Component Regression", ICML 2024.

Jupyter Notebook 1 Updated May 13, 2024

Double Descent results for FCNNs on MNIST, extended by Label Noise (Reconciling Modern Machine-Learning Practice and the Classical Bias–Variance Trade-Off) [Python/PyTorch]..

Python 4 Updated Oct 24, 2023

Explore properties adversarial training in linear models. Companion code to the paper "Regularization properties of adversarially-trained linear regression"

Jupyter Notebook 3 Updated Dec 7, 2023

A Python package for modular causal inference analysis and model evaluations

Python 693 95 Updated Jul 19, 2024

snpnet: Fast and scalable lasso/elastic-net solver for large SNP data

R 32 15 Updated May 30, 2024

Analysis of the genomic architecture and functional role of myocardial trabeculae

MATLAB 13 5 Updated Apr 4, 2024

Python package for dataset imports from UCI ML Repository

Jupyter Notebook 169 68 Updated Jul 14, 2024

Read UCI dataset without the need to download any file from an external website.

Python 8 1 Updated Jul 24, 2021

Repository for the paper 'Prospects for AI-Enhanced ECG as a Unified Screening Tool for Cardiac and Non-Cardiac Conditions -- An Explorative Study in Emergency Care'.

Python 19 1 Updated Jul 4, 2024

The official dataload for http:https://www.nonlinearbenchmark.org/

Python 8 1 Updated May 30, 2024

A simple and flexible code for Reservoir Computing architectures like Echo State Networks

Python 390 97 Updated Jul 9, 2024

I provide simple (and sometimes not so simple) scripts on various topics in Nonlinear Dynamics. I offer them "as is". Feel free to use and modify them.

Jupyter Notebook 4 Updated Mar 14, 2023

Sklearn-style implementations of Neural Network-based Conditional Average Treatment Effect (CATE) Estimators.

Python 116 21 Updated Jun 22, 2024

DeepSurv is a deep learning approach to survival analysis.

Jupyter Notebook 567 167 Updated Aug 27, 2020

Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.

Jupyter Notebook 2,567 445 Updated Jun 8, 2024

A (concise) curated list of awesome Causal Inference resources.

208 37 Updated Sep 13, 2022

Matplotlib styles for scientific plotting

Python 6,776 690 Updated Jun 3, 2024

Official implementation of "Invertible Kernel PCA with Random Fourier Features", 2022.

Jupyter Notebook 7 Updated Mar 11, 2023

Deep learning for 12-lead ECG interpretation

Python 123 34 Updated Jun 8, 2021
Python 10 Updated Oct 7, 2020

Stable Diffusion web UI

Python 136,378 25,991 Updated Jul 20, 2024

Python toolbox for Heart Rate Variability

Python 259 76 Updated Apr 4, 2023

Repository for the paper: 'Diffusion-based Time Series Imputation and Forecasting with Structured State Space Models'

Python 255 45 Updated Mar 9, 2024

Code for training and test machine learning classifiers on MIT-BIH Arrhyhtmia database

Python 514 194 Updated Jan 12, 2022

BibLaTeX bibliography support for publication lists

TeX 37 4 Updated Jul 16, 2024

Deep learning ECG models implemented using PyTorch

Python 161 20 Updated Jul 21, 2024
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