A Unified Framework for Benchmarking Generative Electrocardiogram-Language Models (ELMs)

Let's collect clean, ECG data for the future of artificial intelligence

Corpus of resources for multimodal machine learning with physiological signals (mmps).

Useful terminal scripts

William Han's website

[MLHC 2025] ECG-Byte: A Tokenizer for End-to-End Generative Electrocardiogram Language Modeling

Tools for GPU

Tools I use for plotting that I often forget

exploration and implementation of ops in python

Learning how nvidia gpus work

pure prompt no code

[Rust] Unofficial implementation of "SuperBPE: Space Travel for Language Models" in Rust

A simple way to download and configure to a specific cuda version

Modified https://github.com/dy1901/ecg_plot/tree/master

conditional contrastive loss in jax and pytorch inspired by https://arxiv.org/pdf/2210.01936

tools and resources I use for pytorch

Fun lil activity to inspect what numbers for native Python, np, and torch ACTUALLY are.

Tools I use for jax.

[Rust] Huffman coding with Rust

Performance benchmark for FFT convolutions in numpy, mlx, and torch.

Hugging Face tools that I often use and look up.

Tools I use for ECG preprocessing, visualization, post processing that I often use.

[CHIL 2024] Interpretation of Intracardiac Electrograms Through Textual Representations

[PyTorch] Implementation of MS-SSIM + L1 loss proposed in "Loss Functions for Neural Networks for Image Processing" for Greyscale Images