A free resource for researchers and practitioners to find and follow the latest state-of-the-art ML papers and code. Papers With Code highlights trending ML research and the code to implement it.

StackML is a web-based visual tool to create & train custom deep learning models which can be downloaded in Core ML or Tensorflow format to integrate directly in apps, or used as an API.

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!

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!

MakeML is an easy to use MacOS app for iOS devs, who want to try out machine learning in their apps. The app is made in a way that no Python development nor data scientist background are needed. There are 2 model types available for training: Object Detection and Style Transfer.

Best of Machine Learning is a collection of helpful resources when it comes to learning and staying updated on all things related to Machine Learning. The open-source project is open for Pull Requests and was recently featured on the HackerNews frontpage.