Frank at CytoHub.com's Projects
AI for Medicine Specialization - Coursera offered by deeplearning.ai
A collection of notebooks/recipes showcasing some fun and effective ways of using Claude.
Welcome to the AWS Code Examples Repository. This repo contains code examples used in the AWS documentation, AWS SDK Developer Guides, and more. For more information, see the Readme.md file below.
Deep Learning Library for Single Cell Analysis
DeepCell Kiosk Distribution for Kubernetes on GKE and AWS
Config files for my GitHub profile.
Official implementation for "Generative AI for Medical Imaging: extending the MONAI Framework"
A collection of guides and examples for the Gemini API.
An Immunophenotypic and Transcriptomic Human Bone Marrow Atlas
A deep learning model for single cell segmentation from microsopy images.
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
LLM inference in C/C++
Towards Generalist Biomedical AI
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
MMBERT: Multimodal BERT Pretraining for Improved Medical VQA
AI Toolkit for Healthcare Imaging
MONAI Deploy aims to become the de-facto standard for developing, packaging, testing, deploying and running medical AI applications in clinical production.
MONAI Deploy App SDK offers a framework and associated tools to design, develop and verify AI-driven applications in the healthcare imaging domain.
MONAI Model Zoo that hosts models in the MONAI Bundle format.
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
Examples of single-cell genomic analysis accelerated with RAPIDS
PhysiBoSS 2.0: a sustainable integration of stochastic Boolean and agent-based modelling frameworks
PhysiCell Studio is a graphical tool to allow easy editing of a (XML) model, create initial positions of cells, run a simulation, and visualize results. To contribute, fork and make PRs to the development branch.
The hub for EleutherAI's work on interpretability and learning dynamics