fuliwu's Stars
aws-samples/aws-healthimaging-samples
Sample projects on working with AWS HealthImaging, an AWS service that allows you to store, analyze, and share medical images in the cloud at petabyte scale.
101arrowz/fflate
High performance (de)compression in an 8kB package
MIC-DKFZ/MITK-Diffusion
MITK Diffusion - Official part of the Medical Imaging Interaction Toolkit
openai/consistency_models
Official repo for consistency models.
floooh/sokol
minimal cross-platform standalone C headers
napari/napari
napari: a fast, interactive, multi-dimensional image viewer for python
Heeks/heekscad
Computer-Aided Design application based on OCE
FreeCAD/FreeCAD
This is the official source code of FreeCAD, a free and opensource multiplatform 3D parametric modeler.
donalffons/opencascade.js
Port of the OpenCascade CAD library to JavaScript and WebAssembly via Emscripten.
mcneel/opennurbs
OpenNURBS libraries allow anyone to read and write the 3DM file format without the need for Rhino.
Bforartists/Bforartists
Bforartists is a fork of the popular 3D software Blender, with the goal to improve the UI.
patmo141/odc_public
Addon for Blender meant to streamline dental CAD and design workflows
nuxt/nuxt
The Intuitive Vue Framework.
juj/wasm_webgpu
System headers for interfacing WebGPU from C programs compiled via Emscripten to WebAssembly
PantelisGeorgiadis/dcmjs-imaging
DICOM image and overlay rendering pipeline for Node.js and browser using the dcmjs library
JoeyDeVries/LearnOpenGL
Code repository of all OpenGL chapters from the book and its accompanying website https://learnopengl.com
eliemichel/LearnWebGPU
Learn to use WebGPU for native graphic applications in C++
greggman/webgpu-utils
Some helpers for webgpu
hexops-graveyard/mach-examples
Mach engine examples
mlc-ai/web-stable-diffusion
Bringing stable diffusion models to web browsers. Everything runs inside the browser with no server support.
nanovis/nano-oetzi-webgpu
Finding Nano-Ötzi: Semi-Supervised Volume Visualization for Cryo-Electron Tomography
yiyiliao/deep_marching_cubes
Code for "Deep Marching Cubes: Learning Explicit Surface Representations", CVPR 2018
Warvito/generative_chestxray
Repository to train Latent Diffusion Models on Chest X-ray data (MIMIC-CXR) using MONAI Generative Models
ggerganov/ggml
Tensor library for machine learning
icopy-site/awesome-cn
超赞列表合集
DioxusLabs/dioxus
Fullstack app framework for web, desktop, mobile, and more.
webonnx/wonnx
A WebGPU-accelerated ONNX inference run-time written 100% in Rust, ready for native and the web
mlc-ai/web-llm
High-performance In-browser LLM Inference Engine
VainF/Awesome-Anything
General AI methods for Anything: AnyObject, AnyGeneration, AnyModel, AnyTask, AnyX
kaapana/kaapana
Kaapana (from the hawaiian word kaʻāpana, meaning “distributor” or “part”) is an open source toolkit for state of the art platform provisioning in the field of medical data analysis. The applications comprise AI-based workflows and federated learning scenarios with a focus on radiological and radiotherapeutic imaging.