A programming framework for agentic AI

AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.

Build effective agents using Model Context Protocol and simple workflow patterns

🌟 The Multi-Agent Framework: First AI Software Company, Towards Natural Language Programming

"AutoAgent: Fully-Automated and Zero-Code LLM Agent Framework"

This is the official codebase for methylGPT : a foundation model for the DNA methylome.

Submit R code to a Slurm cluster

Benchmarking clustering, alignment, and integration methods for spatial transcriptomics

Repository for Nicheformer: a foundation model for single-cell and spatial omics

Implementation of Siamese Networks for image one-shot learning by PyTorch, train and test model on dataset Omniglot

Probabilistic Alignment of Spatial Transcriptomics Experiments

🔧 Easy-to-use PyTorch Dataset object for multivariate time series 🔧

A unified multi-task time series model.

Installing MIMIC-IV in a local Postgres database

MIMIC Code Repository: Code shared by the research community for the MIMIC family of databases

This is the code repository of "Incremental Residual Concept Bottleneck Models". The paper is accepted by CVPR 2024.

CVPR 2023: Language in a Bottle: Language Model Guided Concept Bottlenecks for Interpretable Image Classification

Testing codes for "One-Shot Image Classification by Learning to Restore Prototypes"

A Benchmark Dataset for One-Shot Classification in Biomedical Imaging

[ICCV19&TNNLS23, Highly Cited Paper] Few-Shot Image Recognition with Knowledge Transfer

One Shot Learning Implementation

BERT style transformer model on CMS synthetic EHR data for diagnosis and procedure prediction in PyTorch

Code for "DuETT: Dual Event Time Transformer for Electronic Health Records"

image registration related books, papers, videos, and toolboxes

The purpose of this project is to share knowledge on how awesome Streamlit is and can be

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

FHIR Resources https://www.hl7.org/fhir/resourcelist.html

This repository contains data and code for the paper"Comparing deep learning and concept extraction based methods for patient phenotyping".