Highlights
- Pro
Stars
Orchestrate Claude Code, Codex, and Gemini sessions on a multiplayer canvas. Manage git worktrees, track AI conversations, and visualize your team's agentic work in real-time.
A statistics and context decoding toolbox for neuroimaging.
A framework for joint super-resolution and image synthesis, without requiring real training data
A python module for scientific analysis of 3D data based on VTK and Numpy
π One library to rule all charts for React Native π
Tanker client-side encryption SDK for JavaScript
A collection of components that visualizes DaySpan Calendars and Schedules using Vuetify
Official code for "Boundary loss for highly unbalanced segmentation", runner-up for best paper award at MIDL 2019. Extended version in MedIA, volume 67, January 2021.
This recipe is dedicated to helping you make the best possible pizza dough for Neapolitan pizza.
A collaborative documentation site, powered by Google Docs.
This repository contains issues related to the management of all Whitaker Lab projects
AI-powered development workspaces with reusable components, architectural clarity and zero overhead.
Bash shell script to remove docker residue which can quickly consume massive amounts of disk space
πAwful AI is a curated list to track current scary usages of AI - hoping to raise awareness
Interactive Layout-Aware Construction of Bespoke Charts
π A React Native boilerplate app to get you up and running very, very quickly π
DEPRECATED: For RNFB v5 only.
A really simple way to move a function or class to a web worker. ποΈββοΈβ π
Mark2Cure allows anyone that can read English, regardless of background, to help in the process of biomedical discovery.
Run Keras models in the browser, with GPU support using WebGL
Collection of pre-configured front-end tooling setups for common uses.
microservice for launching tasks in the cloud from your command-line
A tiny library for creating introductions/tours.
Fully customizable (scientific, compute-intensive) web application template
Coding exercise to extend tensorflow for imagenet to active learning, for use in a job interview or similar.
Image and signal processing pipeline in pure Javascript for browsers and Node
WebGL-accelerated ML // linear algebra // automatic differentiation for JavaScript.