brainchop
Brainchop: In-browser 3D MRI rendering and segmentation (by neuroneural)
FusionCache
FusionCache is an easy to use, fast and robust cache with advanced resiliency features and an optional distributed 2nd level. (by ZiggyCreatures)
SurveyJS - Open-Source JSON Form Builder to Create Dynamic Forms Right in Your App
With SurveyJS form UI libraries, you can build and style forms in a fully-integrated drag & drop form builder, render them in your JS app, and store form submission data in any backend, inc. PHP, ASP.NET Core, and Node.js.
surveyjs.io
featured
| brainchop | FusionCache | |
|---|---|---|
| 16 | 9 | |
| 229 | 1,304 | |
| 4.8% | 8.2% | |
| 9.1 | 8.8 | |
| 21 days ago | 9 days ago | |
| JavaScript | C# | |
| MIT License | MIT License |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.
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
Posts with mentions or reviews of brainchop.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2024-04-07.
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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.
FusionCache
Posts with mentions or reviews of FusionCache.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2024-04-07.
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Release Radar • March 2024 Edition
Want an easy to use cache with advanced resiliency features? Look no further than FusionCache. It's built for performance, good refresh rates, better auto-setup, better logs, and more. Congrats to the team on shipping your first major and stable version 🎉 and receiving over 3.8 million downloads.
- FusionCache Is Now v1.0
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Caching as a cross cutting concern using MediatR's pipeline behavior
I wrote an internal nuget package for our team that does similar stuff to your work, although I called mine ICachedRequest. Unlike you I denied myself the enjoyment of exploring a custom caching solution and ended up injecting FusionCache into my mediatr behavior.
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17 Amazing Community Packages for .NET Developers
The most undervalued library from that list is FusionCache. The rest is either well-known (like FluentAssertions) or pretty specific to the guy's experience (like the WPF stuff).
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Multi level cache library (in memory + Redis)
The instances (using FusionCache for instance) sync over Redis pub/sub.
- What your hidden nuget gems ?
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How to implement cache
LazyCache is amazing. Btw I'm using FusionCache and it is good too
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Ask HN: What are some 'cool' but obscure data structures you know about?
If you are in the .NET space I suggest you to take a look at FusionCache. It has cache stampede protection built in, plus some other nice features like a fail-safe mechanism and soft/hard timeouts https://github.com/jodydonetti/ZiggyCreatures.FusionCache
What are some alternatives?
When comparing brainchop and FusionCache you can also consider the following projects:
three-js-games - 👾 The code for my Three.js game dev experiments on YouTube.
Lazy Cache - An easy to use thread safe in-memory caching service with a simple developer friendly API for c#
cornerstone - JavaScript library to display interactive medical images including but not limited to DICOM
Cache Tower - An efficient multi-layered caching system for .NET
dicomviewer - DICOM Viewer in Nextcloud
EasyCaching - :boom: EasyCaching is an open source caching library that contains basic usages and some advanced usages of caching which can help us to handle caching more easier!
three-js-tutorials - 🥉 The code for my Three.js tutorial series on YouTube.
SqliteCache for ASP.NET Core - An ASP.NET Core IDistributedCache provider backed by SQLite
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.
NCache - NCache: Highly Scalable In-Memory Distributed Cache for .NET
CacheCow - An implementation of HTTP Caching in .NET Core and 4.5.2+ for both the client and the server
CacheManager - CacheManager is an open source caching abstraction layer for .NET written in C#. It supports various cache providers and implements many advanced features.
brainchop vs three-js-games
FusionCache vs Lazy Cache
brainchop vs cornerstone
FusionCache vs Cache Tower
brainchop vs dicomviewer
FusionCache vs EasyCaching
brainchop vs three-js-tutorials
FusionCache vs SqliteCache for ASP.NET Core
brainchop vs facial-emotion-recognition
FusionCache vs NCache
FusionCache vs CacheCow
FusionCache vs CacheManager