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Starred repositories
nnInteractive is a framework for 3D interactive segmentation, supporting intuitive prompts like points, scribbles, bounding boxes, and lasso. Trained on 120+ diverse 3D datasets, it sets a new stan…
OctoSQL is a query tool that allows you to join, analyse and transform data from multiple databases and file formats using SQL.
Virtual whiteboard for sketching hand-drawn like diagrams
A utility for validating CRT Contributor Roles (https://credit.niso.org/) in your application, building canonical URLS, and showing descriptions.
Open science SVG icons, by Curvenote.
HoGS: Unified Near and Far Object Reconstruction via Homogeneous Gaussian Splatting
"Awesome DL-Based MRI Reconstruction" is a comprehensive, curated repository featuring resources, tools, and research papers focused on leveraging deep learning and compressed sensing to accelerate…
Open source DocuSign alternative. Create, fill, and sign digital documents ✍️
Host repository for The Turing Way: a how to guide for reproducible data science
💪 [ARXIV 2025] Pytorch implementation of 'HAC++: Towards 100X Compression of 3D Gaussian Splatting'
Code Release for CVPR 2025, "Rethinking End-to-End 2D to 3D Scene Segmentation in Gaussian Splatting"
This repository contains various source codes needed to be able to work with BigInts ("Arbitrary" large signed integers) in your WGSL shaders.
An introduction to bioimage analysis - http://bioimagebook.github.io
The C++ Standard Library for Parallelism and Concurrency
The FAIR cookbook, containing recipes to make your data more FAIR. Find the rendered version on:
10 Lectures on Inverse Problems and Imaging
A community effort to develop an open standard library for Medical Physics in Python. Building quality transparent software together via peer review and open source distribution. Open code is bette…
Slides, paper notes, class notes, blog posts, and research on ML 📉, statistics 📊, and AI 🤖.
This repository is a Python package with all of the functions and python libraries required for the Dartmouth fMRI Analysis Course taught by Prof Luke Chang, PhD.
Source repository for NeuroML documentation.
Library to check if a package is reproducible
Enriched Python function call graphs for agents and coding assistants
🍕 Peer-to-peer file transfers in your browser
A curated list of awesome DeSci resources, projects, events, articles and more
😎 A MyST 🌫️ (Markedly Structured Text) Awesome List