CVPR2024-Papers-with-Code
realworld
CVPR2024-Papers-with-Code | realworld | |
---|---|---|
1 | 121 | |
16,227 | 78,363 | |
- | 0.4% | |
6.5 | 8.1 | |
20 days ago | 2 months ago | |
TypeScript | ||
- | MIT License |
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.
CVPR2024-Papers-with-Code
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23 useful GitHub Repos every developer should follow
Repo Link: https://github.com/amusi/CVPR2021-Papers-with-Code
realworld
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Yet Another Tour of an Open-Source Elm SPA
In light of all this, it became exceedingly clear that someone else needed to step in and help. Why not me? Well, it can be me. And, after 3 months of development, I am happy to announce (again) dwayne/elm-conduit (demo), an open-source Elm SPA for RealWorld's Medium.com clone.
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Ask HN: Reference applications to idiomatically learn languages/frameworks?
https://github.com/gothinkster/realworld
It's just for web app (a Todo app). Your GIS AND CLI ideas are interesting, I haven't seen anything similar to realworld for those.
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10 GitHub Repos to Become a Better Backend Developer
View on GitHub
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Rage: Fast web framework compatible with Rails
So what would be a better benchmark? Perhaps a "standard" "real world" app, like https://github.com/gothinkster/realworld
Or something simpler?
- Realworld: “The mother of all demo apps” – Exemplary fullstack Medium.com clone
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Monitoring Spring Boot with OpenTelemetry
RealWorld example app is a full-stack application called "Conduit" that consists of a backend that serves JSON API and a frontend UI. There are numerous implementations for different languages and frameworks, but in this tutorial you will be using the Spring backend and the React frontend.
- how do replace or set value on {item.Title} on dynamic html in map
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A common question about how to find repositories to contribute to
Github has millions of projects, some large fraction with more than 100 stars, so it doesn't seem like you are searching very hard. But more importantly, why "100 stars"? Stars are meaningless and arbitrary. Many developers use stars like bookmarks. I just did a quick search and noticed a project like realworld (just a demo for learning, 65 contributors) has have more stars than Bitcoin (900+ developers, perhaps you have heard of it?)
- [DUDA] ¿Algún proyecto de prueba o idea para empezar a practicar en DevOps?
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Any good project links which demonstrate the effectiveness of composition?
I feel you, context API sometimes overcomplicates everything. Let me introduce to you RealWorld. It is a great project that uses composition to make its structure scalable. It is actually a codebase that implements various fragments of a larger scale project such as Medium or Twitter. Check it out here: https://github.com/gothinkster/realworld. I hope this helps!
What are some alternatives?
best_AI_papers_2021 - A curated list of the latest breakthroughs in AI (in 2021) by release date with a clear video explanation, link to a more in-depth article, and code.
fastapi-realworld-example-app - Backend logic implementation for https://github.com/gothinkster/realworld with awesome FastAPI
tinyml-papers-and-projects - This is a list of interesting papers and projects about TinyML.
spicedb - Open Source, Google Zanzibar-inspired permissions database to enable fine-grained access control for customer applications
fastdup - fastdup is a powerful free tool designed to rapidly extract valuable insights from your image & video datasets. Assisting you to increase your dataset images & labels quality and reduce your data operations costs at an unparalleled scale.
jhipster-sample-app - This is a sample application created with JHipster
freeCodeCamp - freeCodeCamp.org's open-source codebase and curriculum. Learn to code for free.
fingerprintjs - Browser fingerprinting library. Accuracy of this version is 40-60%, accuracy of the commercial Fingerprint Identification is 99.5%. V4 of this library is BSL licensed.
Computer-Vision-Video-Lectures - A curated list of free, high-quality, university-level courses with video lectures related to the field of Computer Vision.
Alpine.js - A rugged, minimal framework for composing JavaScript behavior in your markup.
AvatarMe - Public repository for the CVPR 2020 paper AvatarMe and the TPAMI 2021 AvatarMe++
nestjs-realworld-example-app - Exemplary real world backend API built with NestJS + TypeORM / Prisma