
Algorithmia
MCenter
5Analytics
Spell
neptune.ai
MuleSoft Anypoint Platform
Zapier
Datadog
Scratch
Code.org
Godot Engine
GDevelop
Invent With Python
Snap
Processing
Unity
Algorithmia
ScratchAlgorithmia 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, Scratch seems to be a lot more popular than Algorithmia. While we know about 577 links to Scratch, 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.
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
Sounds like Scratch: https://scratch.mit.edu/. - Source: Hacker News / about 2 months ago
The average house in the UK now has 1.3 laptops. https://www.theguardian.com/technology/2015/apr/09/online-all-the-time-average-british-household-owns-74-internet-devices A windows laptop from today is vastly easier to code on that a C64 or whatever. Most houses would have an internet connection as well so they can get to all sorts of things. A Raspberry Pi is probably something richer kids get to play with. Have... - Source: Hacker News / about 2 months ago
No syntax error editing seems like https://scratch.mit.edu/. - Source: Hacker News / 5 months ago
My 2c from lots of remote math tutoring, and one coding-for-fun middle school student: - student motivation is everything. Hard to motivate thru a screen and with cameras off. Hard to keep them engaged or recognize if they're engaged. Less of an issue with adult students. - reduce friction for students as much as possible. Ideally one web tool, zero installs. Prefer tools with few failure modes, and have fallbacks... - Source: Hacker News / 6 months ago
What is the closest analogy for kids these days? https://scratch.mit.edu ? - Source: Hacker News / 8 months ago
MCenter - Machine Learning Operationalization
Code.org - Code.org is a non-profit whose goal is to expose all students to computer programming.
5Analytics - The 5Analytics AI platform enables you to use artificial intelligence to automate important commercial decisions and implement digital business models.
Godot Engine - Feature-packed 2D and 3D open source game engine.
Spell - Deep Learning and AI accessible to everyone
GDevelop - GDevelop is an open-source game making software designed to be used by everyone.