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CTO.ai NeuroNeuro might be a bit more popular than CTO.ai. We know about 4 links to it since March 2021 and only 3 links to CTO.ai. 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.
Happy new year and I hope you all had great holidays! Let's start the year with a fresh new Hand-On session, where you can learn how to create a customizable developer workflow, using a Developer Control Plane, developed by CTO.ai. - Source: dev.to / over 1 year ago
I'm just passing by to invite you all to my very first webinar at CTO.ai, which I'll talk about How a Composable Developer Platform Simplifies Ops for Devs. - Source: dev.to / over 1 year ago
CTO.ai also have an open source project that you can contribute. Feel free to code and share your know-how on it. Visit our workflows-sh repository to see the code. - Source: dev.to / over 1 year 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: almost 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: about 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: about 3 years ago
Serverless - Toolkit for building serverless applications
Lobe - Visual tool for building custom deep learning models
Netlify Build Plugins - Optimize your site & boost developer workflow at every build
Opta - Opta is a new kind of Infrastructure-As-Code framework designed for fast moving startups.
Serverless.page - Serverless SaaS is aiming to be the perfect starting point for your next React app to build full-stack applications. Save time and skip implementing authentication, payments, teams, etc.
mlblocks - A no-code Machine Learning solution. Made by teenagers.