DigitalOcean
Linode
Amazon AWS
Vultr
GoDaddy
Microsoft Azure
Heroku
Bluehost
Scale Nucleus
PerceptiLabs
Aquarium
ML Image Classifier
Pixave
Google Cloud TPUs
PhotoFinder
Inboard
DigitalOcean Scale NucleusBased on our record, DigitalOcean seems to be a lot more popular than Scale Nucleus. While we know about 62 links to DigitalOcean, we've tracked only 2 mentions of Scale Nucleus. 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.
Hey folks, it's been a while since I posted here! I've been quite busy with life, especially working at a few companies such as Hyperbeam, DigitalOcean, and a few others. That being said though, let's get into the real meat of today's topic. Why is C/C++'s development such a mess? - Source: dev.to / 11 months ago
Or create a VPS with linode.com, chunkhost.com, or digitalocean.com. Source: about 1 year ago
Linode (Mumbai) and DigitalOcean (Bangalore) each have a single DC in India, and Vultr has 3 (Mumbai, Bangalore, Delhi). Source: about 1 year ago
Or you could look at hosts like https://snakecrafthosting.comwhich is managed aka you upload your code and click start or if you want a whole server something like https://digitalocean.com. Source: about 1 year ago
In the same way that https://njal.la/ is different from https://digitalocean.com. Source: about 1 year ago
At Scale we built a tool for model debugging in computer vision called Nucleus (scale.com/nucleus) designed exactly for this, which is free try out if you're curious to see where your model predictions are most at odds with your ground truth. Source: over 2 years ago
To address your point about gathering edge cases, which can also be defined as cases of low model fidelity for our use cases, there is active learning and tools such as Aquarium Learning and Scale Nucleus which make it easy to implement into workflows. Source: almost 3 years ago
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PerceptiLabs - A tool to build your machine learning model at warp speed.
Amazon AWS - Amazon Web Services offers reliable, scalable, and inexpensive cloud computing services. Free to join, pay only for what you use.
Aquarium - Improve ML models by improving datasets they’re trained on
Vultr - VULTR Global Cloud Hosting - Brilliantly Fast SSD VPS Cloud Servers. 100% KVM Virtualization
ML Image Classifier - Quickly train custom machine learning models in your browser