
Amazon CloudFront
CloudFlare
KeyCDN
CDN77
Akamai
Fastly
Sucuri
Imperva Cloud Application Security
Scale Nucleus
ML Image Classifier
Aquarium
Prodigy
mlblocks
PerceptiLabs
Machine Learning Playground
Roboflow Universe
Amazon CloudFrontBased on our record, Amazon CloudFront seems to be a lot more popular than Scale Nucleus. While we know about 87 links to Amazon CloudFront, 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.
Using a Content Delivery Network (CDN) like CloudFront to serve static assets faster. - Source: dev.to / 2 months ago
Semantic Caching: Cache similar queries' results using result fingerprinting. Edge caching via Amazon CloudFront for reduced latency. - Source: dev.to / 3 months ago
CloudFront may sound like Cloudflare, but it is an unrelated AWS service (https://aws.amazon.com/cloudfront/) (Disclaimer: I work for Cloudflare, which is not CloudFront). - Source: Hacker News / 3 months ago
In this post we are using an Amazon EC2 T3 Micro instance running Ubuntu with an nginx web server. We'll use AWS Systems Manager to help set up a CI/CD pipeline using GitHub Actions. We'll then configure AWS Certificate Manager with Amazon CloudFront and have it connected to our domain with Amazon Route 53! We'll be using a Vue Nuxt 4 application as our web app. - Source: dev.to / 5 months ago
A best practice for your web applications is to use Amazon S3 to store content and Amazon CloudFront to deliver it to users and protecting your data at rest and in transit. Encryption is one of protection controls AWS provides you to reduce the risks of unauthorized access, loss, or exposure. In this blog post, you will learn how to implement one of these options (SSE-KMS) in S3 when using CloudFront for content... - Source: dev.to / 6 months 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 4 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: about 5 years ago
CloudFlare - Cloudflare is a global network designed to make everything you connect to the Internet secure, private, fast, and reliable.
ML Image Classifier - Quickly train custom machine learning models in your browser
KeyCDN - KeyCDN is a high-performance Content Delivery Network (CDN). Lowest price globally at $0.04/GB with HTTP/2 Support and free Origin Shield.
Aquarium - Improve ML models by improving datasets theyโre trained on
CDN77 - Content Delivery Network - website speed acceleration with CDN77. 28+ PoPs, Pay-as-you-go prices, no commitments.
Prodigy - Radically efficient machine teaching