An agent-based intelligent health report supervisor based on EHR records

[ICML 2026] xMAE: Physiology-Aware Masked Cross-Modal Reconstruction for Biosignal Representation Learning

HypotheSAEs: hypothesizing interpretable relationships in text datasets using sparse autoencoders. https://arxiv.org/abs/2502.04382

[ICLR 2026] HiMAE: Hierarchical Masked Autoencoders Discover Resolution-Specific Structure in Wearable Time Series

Symile is a flexible, architecture-agnostic contrastive loss that enables training modality-specific representations for any number of modalities.

Can we predict the progression of ckd using textual features and language models

Official repository of "BenchECG and xECG: a benchmark and baseline for ECG foundation models"

Transforms MEDS-formatted data to textual representations

Summarizing Mean Review Score for All Submissions for a Conference hosted on Openreview

Paper2Code: Automating Code Generation from Scientific Papers in Machine Learning

A Collection of papers I am reading related to Multimodal Large signal models

Local UI to run and train LLMs and diffusion models. Supports GGUF, MLX, Qwen3.8, DeepSeek-V4, MiniMax-H3, Gemma 4, FLUX and more.

Memory layer for AI Agents. Replace complex RAG pipelines with a serverless, single-file memory layer. Give your agents instant retrieval and long-term memory.

Code repository for DBMI's EHR foundation model benchmarks.

[ICML 2025 Spotlight] CACTI recycles missing value patterns present in the data and unstructued feature context information to achieve SOTA imputation accuracy across various missingness conditionss

[ICML 2025 Spotlight] Raptor computes expressive embeddings of medical volumes with no training.

A final sanity checklist to help your CS paper get accepted, not desk rejected.

Curated list of awesome open source healthcare software, libraries, tools and resources.

A curated list of awesome open source healthcare tools, algorithms, datasets and research papers.

Collection of awesome medical dataset resources.

A curated collection of cutting-edge research at the intersection of machine learning and healthcare. This repository will be actively maintained until at least 202X (When is my graduation expected…

This repository is included artificial intelligence, machine learning, data science, computer vision projects related to healthcare.

A curated list of ML|NLP resources for healthcare.

A curated list of awesome resources at the intersection of healthcare and AI

lossily compress representation vectors using product quantization