Alternative products to Machine Learning Playground

13 alternative and related products to Machine Learning Playground

Machine Learning Playground

Breathtaking visuals for learning ML techniques.

A demo inspired by the Tensorflow playground, but a bit broader in depth and with more customization.

Believe it or not, there was a period of time where not everything in Machine Learning was Deep Learning - and this site covers a good amount of traditional methods that are still quite relevant today.

Feedback is welcome!


Friendly machine learning for the web

Ml5.js aims to make machine learning approachable for a broad audience of artists, creative coders, and students. The library provides access to machine learning algorithms and models in the browser, building on top of TensorFlow.js with no other external dependencies.

9 Alternatives to ML5.js

ML Showcase

A curated collection of machine learning projects

Every day, interesting machine learning projects get posted to GitHub, but they soon disappear into the abyss if you're not quick to bookmark them. I've created a small collection of ML projects that stood out to me from HN, reddit, and GitHub. Preference was given to open source projects witht an online demo. Let me know if I missed any!

9 Alternatives to ML Showcase

250 Machine Learning Conferences of 2018

A curated list of AI, Machine Learning & Blockchain events 🌍

We gathered 360 AI, ML, Blockchain conferences worldwide into a single list - the largest one you can find online. Enjoy 🙏

A Digital Scrum Master at Work
January February March 5-6 Mar, European Artificial Intelligence Innovation Summit. London, UK. 5-8 Mar,🎓 HRI 2018. Chicago, 5-8 Mar, O'Reilly Strata Data Conference. San Jose, 5-8 Mar, Gartner Data & Analytics Summit. Grapevine, 7-8 Mar, Big Data & Analytics Innovation Summit. Singapore. 7-8 Mar, AI and Sentiment Analysis in Finance.
A Digital Scrum Master at Work
A list of blockchain, bitcoin and ICO conferences in 2018. 120 events have been found so far.
13 Alternatives to 250 Machine Learning Conferences of 2018

Fritz makes it easy to build these experiences with an end-to-end mobile ML platform. Get started at

It's one thing to run machine learning models in the cloud, where you have plenty of resources. On mobile devices, you're dealing with very finite compute resources, so if you want to run your models directly on the devices, they have to be highly optimized. Add to that that Apple and G...
9 Alternatives to Fritz
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