brainchop
BabylonJS
brainchop | BabylonJS | |
---|---|---|
16 | 63 | |
229 | 22,488 | |
4.8% | 1.2% | |
9.1 | 10.0 | |
21 days ago | 4 days ago | |
JavaScript | TypeScript | |
MIT License | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
brainchop
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Release Radar • March 2024 Edition
We featured Brainchop back in the February 2023 Release Radar. Since then, Brainchop is back with a powerful model update. Brainchop is a 3D MRI rendering and segmentation tool for analysing and processing Magnetic Resonance Imaging (MRIs) of various brains. Using AI, the new version features three classes of models for processing and analysing images of brains. Here are the three new models:
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"[N]" Brainchop V1.4.0
Brainchop win TF Community Sportlight Award Github: https://github.com/neuroneural/brainchop
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Brainchop V1.4.0 is out: Rendering input in 3D and apply 3D image processing
You welcome, there is no backend with brainchop, but in-browser JS functions, please visit https://github.com/neuroneural/brainchop/tree/master/js/brainchop
- Brainchop v1.3.0: First in browser open source and free software for 3D brain segmentation. (Follow up)
- Brainchop: In-browser 3D MRI segmentation
- Brainchop: Volumetric Segmentation of brain 3D MRI images (Follow up)
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"[Project]" Brainchop: In Browser 3D Segmentation. Now 50 and 104 Brain Segmentations. (Follow up).
Live Demo: brainchop.org
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Brainchop: In Browser 3D Segmentation. And now more options with Pyodide. (Follow up).
We appreciate your ideas/feedback /comments by visit our discussion board and please spread a word about our work.
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Brainchop: In-browser deep learning framework for volumetric Segmentation
Live Demo: brainchop.org Brainchopis a client-side web-application for automatic segmentation of MRI volumes that brings automatic volumetric segmentation capability to neuroimaging by running a robustly pre-trained deep learning model. The app does not require technical sophistication from the user and is designed for locally and privately segmenting user’s T1 volumes. Results of the segmentation may be easily saved locally after the computation. An intuitive interactive interface that does not require any special training nor specific instruction to run enables access to a state of the art deep learning brain segmentation for anyone with a modern browser (e.g. Firefox, Chrome etc) and commonly available hardware. Additionally, we make implementation of brainchop freely available releasing its pure Javascript code as open-source.
Hi, and thanks for asking. currently we are planning to release a version with cortical structure of 50 labels within a week or so. We have also a subcortical one of 104 labels but we work on optimize it more to make it run with most browsers. Please keep tracking us, and feel free please to reach us out with your suggestion/feedback/question using Brainchop discussion board.
BabylonJS
- Show HN: My wife and I made a maze game
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Release Radar • March 2024 Edition
It's been around for a while, and we've featured it in the April 2019 and March 2022 Release Radars. It's also been in GitHub Game Bytes and on our latest episode of The Download. Yes, I'm talking about Babylon, the powerful web rendering engine for all kinds of graphics. The newest update includes support for basic Global Illumination, a highly requested feature. Read more about other cool new additions including Gaussian Splatting, Ragdoll physics, Procedural Geometry and all the breaking changes in the Babylon release notes.
- Not only Unity...
- Anime.js – A lightweight JavaScript animation library
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How do I integrate Motion and Animation into my Projects?
Wow that site is super cool! So I see most of the 3D stuff is using canvas, maybe three.js or babylon.js or possibly pixi.js.
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Which tools should I use to create my game ?
Sure; I've used [Phaser](https://phaser.io/) before for a game jam like project and I've heard of [PixiJS](https://pixijs.com/) and [Babylon.js](https://www.babylonjs.com/) as options too. I can't really give a good recommendation either way; Phaser was fun to just write TypeScript and see my game, but it felt like a toy compared to Unreal. I'm sure you could really push it to its limits though. You mentioned you know about LibGDX; I don't have experience with it, but it does seem like a viable option.
- Babylon.js: Powerful, Beautiful, Simple, Open - Web-Based 3D At Its Best
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JavaScript framework for making games. no game engine
I’ve only messed around with it a bit, but https://www.babylonjs.com seems impressive
- Faster LZ is not the answer to 150-250 GB video game downloads
- Babylon.js 6.0
What are some alternatives?
three-js-games - 👾 The code for my Three.js game dev experiments on YouTube.
three.js - JavaScript 3D Library.
cornerstone - JavaScript library to display interactive medical images including but not limited to DICOM
react-three-fiber - 🇨🇭 A React renderer for Three.js
dicomviewer - DICOM Viewer in Nextcloud
Phaser - Phaser is a fun, free and fast 2D game framework for making HTML5 games for desktop and mobile web browsers, supporting Canvas and WebGL rendering. [Moved to: https://github.com/phaserjs/phaser]
three-js-tutorials - 🥉 The code for my Three.js tutorial series on YouTube.
p5.js - p5.js is a client-side JS platform that empowers artists, designers, students, and anyone to learn to code and express themselves creatively on the web. It is based on the core principles of Processing. http://twitter.com/p5xjs —
facial-emotion-recognition - This repository demonstrates an end-to-end pipeline for real-time Facial emotion recognition application through full-stack development. The frontend is developed in react.js and the backend is developed in FastAPI. The emotion prediction model is built with Tensorflow Keras, and for real-time face detection with animation on the frontend, Tensorflow.js have been used.
model-viewer - Easily display interactive 3D models on the web and in AR!
A-Frame - :a: Web framework for building virtual reality experiences.
heatmap.js - 🔥 JavaScript Library for HTML5 canvas based heatmaps