Webhook.site VS Apple Machine Learning Journal

Webhook.site - Verify webhooks, outbound HTTP requests, or emails with a custom URL. A temporary URL and email address are always free. - Source: dev.to / 3 months ago

The automatic updates use webhooks from version control system platforms such as GitHub and GitLab. In this article, for correct working, the services should be deployed somewhere, like Cloud Platform Providers, but to keep things simple, we will do it on a local machine. You can create a webhook inside the repository’s settings section and get an idea of what information can be obtained from the webhook... - Source: dev.to / 4 months ago

While inspecting the content of a webhook payload can be useful (for example by forwarding the webhook to tools like webhook.site), developers also require the capability to receive incoming webhooks directly in the application running on their laptop. It is a matter of more effective testing that verifies the correct processing on the incoming events and the associated workflow that follows. - Source: dev.to / 5 months ago

The webhook fires natively from inside the site, it's Yith Subscription plugin. I can get the webhook out and see the information if I test on a place like webhook.site. Everything works fine there. Source: 5 months ago

With the Dockerfile written we can now start the docker containers, but first, you need to have a webhook URL to try this project. You can easily get a free one at https://webhook.site. Once it is done, create a file called .env at the root of the project, where the docker-compose.yaml file is present. Then, make sure to have similar content. - Source: dev.to / 9 months ago

For your reference, Apple's pages for Machine Learning for Developers and for their research. The Apple Neural Engine was custom designed to work better with their proprietary machine learning programs -- and they've been opening up access to developers by extending support / compatibility for TensorFlow and PyTorch. They've also got CoreML, CreateML, and various APIs they are making to allow more use of their... Source: 12 months ago

We even host annual poster sessions of those PhD intern’s work while at our company, and it’ll give you an idea of the caliber of work. It may not be as great as Nvidia, Stryker, Waymo, or Tesla (which are not part of MAANG but I believe are far more ahead in CV), but it’s worth of considering. Source: about 1 year ago

They have something for ML: https://machinelearning.apple.com. - Source: Hacker News / almost 2 years ago

They're more subtle about it, I think. https://machinelearning.apple.com/ Some of the papers are pretty good. I don't disagree with your sentiment in aggregate, though. Source: about 2 years ago

Siri is not where it needs to be because Apple refuses to mine user data to enrich it. They also are very hesitant to allow researchers to publish their breakthroughs which makes recruitment very hard. Although this is changing https://machinelearning.apple.com/. - Source: Hacker News / about 2 years ago