Based on our record, React seems to be a lot more popular than Neuro. While we know about 783 links to React, we've tracked only 4 mentions of Neuro. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
React: Frontend library for designing and building the frontend user interfaces. - Source: dev.to / 2 days ago
References React. (2022). A JavaScript library for building user interfaces. Retrieved from React. (2022). React 18 Announcement. Retrieved from Angular. (2022). The modern web developer's platform. Retrieved from Angular. (2022). Angular 15 Announcement. Retrieved from React. (2022). React Release Notes. Retrieved from Angular. (2022). Angular Versions. Retrieved from. - Source: dev.to / 7 days ago
React - A JavaScript library for building user interfaces. - Source: dev.to / 28 days ago
On the back end, we worked to migrate data from Spark (a data processing engine) to a custom, in-house RETS (real estate transaction standard) aggregator, which helped dramatically grow the customer base. We also moved Agent Inbox to a hybrid solution using React.js and Ruby on Rails, replacing their single-page-application solution with server-side rendering to improve project stability and speed. (This move came... - Source: dev.to / about 1 month ago
How to start using React components written in TypeScript using Ruby on Rails as a server with only built-in Rails features? There are a couple of ways we can achieve it with. - Source: dev.to / about 1 month ago
Projects are definitely the best way to learn models. Build things for fun that do things in topics/fields that you care about or think is cool. a few years ago when I was getting into ML stuff I build fantasy football things that weren't even useful but provided an actual use case. Then I did more complicated stuff with photography and lighting because I did real estate photography. As far as ML libraries go,... Source: almost 3 years ago
So far I’ve seen AWS Sagemaker kind of allows for a situation like this, but would rather not deal with all that config. Algorithmia and Nuclio are too enterprise focused. Neuro is new and looks great, but from my understanding I would still need to create a lambda instance myself that then calls neuro’s servers - too indirect. Is there a total solution out there for this? Source: about 3 years ago
A couple of weeks ago I put out a post on DeepSpeech running on the serverless setup at Neuro (https://getneuro.ai), and I've now got Silero running there as well. I've found this model is a lot faster than DS and way more accurate. Seeing around 300ms per request at the moment, hopefully will be closer to 100ms soon but this is a pretty decent speed in this application already. Source: over 3 years ago
I just made a streaming script connecting Deepspeech to serverless GPUs at Neuro (https://getneuro.ai). Was a fun piece of work, and cool to play around with. You can find the source here: https://github.com/neuro-ai-dev/npu_examples/tree/main/deepspeech. Source: over 3 years ago
Vue.js - Reactive Components for Modern Web Interfaces
Lobe - Visual tool for building custom deep learning models
Next.js - A small framework for server-rendered universal JavaScript apps
mlblocks - A no-code Machine Learning solution. Made by teenagers.
Svelte - Cybernetically enhanced web apps
Machine Learning Playground - Breathtaking visuals for learning ML techniques.