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Algorithmia
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We recommend LibHunt PHP for discovery and comparisons of trending PHP projects.
AlgorithmiaAlgorithmia is recommended for data scientists, machine learning engineers, and developers who need a flexible and scalable environment to deploy, manage, and share AI and machine learning models. It is particularly suitable for teams seeking to collaborate and leverage pre-built algorithms from a community-driven marketplace. Businesses looking to integrate machine learning capabilities into their operations without extensive infrastructure management will also benefit from Algorithmia's offerings.
Based on our record, PHP seems to be a lot more popular than Algorithmia. While we know about 56 links to PHP, we've tracked only 5 mentions of Algorithmia. 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.
The PHP website is indeed one of the worst parts of the whole ecosystem. Just look at the landingpage (https://php.net) and compare it with those of other languages. There's not a single piece of PHP code on the page. No "what is PHP", no "why should I use it", and no "that's why PHP is great". It's just a news page showing the latest releases, and a small section for downloading PHP. And speaking of the website:... - Source: Hacker News / about 2 months ago
My initial idea was to leverage the main applicationโs queue worker by deploying a queue worker remotely and setting up a secure connection between them using something like Wireguard. Vigilant is written in PHP using the Laravel framework, for queuing it uses Laravel Horizon. This is a queuing system built on top of Redis. All monitoring tasks in Vigilant are executed on this queue, it allows for multiple queues... - Source: dev.to / 8 months ago
I remember being 15 (18 years ago ๐ฅฒ) and learning PHP. Stack Overflow wasnโt as big yet, and finding answers often meant digging through forums filled with half-baked solutions, each dependent on specific hosting configurations. There was no universal standard, some hosts supported certain php.ini settings while others didnโt. The only reliable resource? The official PHP documentation: php.net. - Source: dev.to / over 1 year ago
That's the first I've heard of it, and I like it! I can't tell you the number of trips to php.net to look at argument order for a function. Is it haystack/needle, or needle/haystack? Of course it could turn into the same thing w/ argument names (is it whole_name or full_name?), but I'm going to use it. Source: about 3 years ago
Prepare to spend a fair bit of time reading and going back to phptherightway.com and php.net. I've also found this Tutorial from Envato Tuts+ to be quite good. Source: about 3 years ago
To push a model into production, there are additional concerns which the tools in the versioning, deployment and release space aim to solve. This includes obtaining adequate infrastructure to run the model reliably and facilitating easy model release or rollback. Solutions in the MLOps space includes Kubeflow, Pachyderm and Algorithmia. - Source: dev.to / over 4 years ago
And for enterprises that want to do the same with ML you can use algorithmia.com. Source: over 4 years ago
Algorithmia advertises themselves as an MLops platform for data scientists, and they provide an easy way to host models on a scalable REST API. Source: over 4 years ago
Seems similar to https://algorithmia.com. Source: over 4 years ago
Algorithmia.com โ Host algorithms for free. Includes free monthly allowance for running algorithms. Now with CLI support. - Source: dev.to / almost 5 years ago
Python - Python is a clear and powerful object-oriented programming language, comparable to Perl, Ruby, Scheme, or Java.
MCenter - Machine Learning Operationalization
JavaScript - Lightweight, interpreted, object-oriented language with first-class functions
5Analytics - The 5Analytics AI platform enables you to use artificial intelligence to automate important commercial decisions and implement digital business models.
Java - A concurrent, class-based, object-oriented, language specifically designed to have as few implementation dependencies as possible
Spell - Deep Learning and AI accessible to everyone