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.
StackML helps makers of all kinds to use state of the art machine learning models in the browser. It's a no code platform which requires zero setup.
Handl is a tool to label and manage data for machine learning. You can use the qualified crowd onboard or bring your team. Whatever you have, images, texts or sounds, we have a complete set of tools to do the job.
Spell is The most flexible and powerful end-to-end platform for ML and deep learning engineering.
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!
Michelangelo, is an internal ML-as-a-service platform that democratizes machine learning and makes scaling AI to meet the needs of business as easy as requesting a ride. Michelangelo enables internal teams to seamlessly build, deploy, and operate machine learning solutions at Uber’s scale.
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!
The mission of Papers With Code is to create a free and open resource with Machine Learning papers, code and evaluation tables.
We believe this is best done together with the community and powered by automation.
We gathered 360 AI, ML, Blockchain conferences worldwide into a single list - the largest one you can find online. Enjoy 🙏
Fritz makes it easy to build these experiences with an end-to-end mobile ML platform. Get started at https://fritz.ai
Prodigy is a new annotation tool for creating training and evaluation data for machine learning models. It comes with an extensible, self-hosted back-end, active learning-powered models that update as you annotate, and a modern web application that helps you stay focused.
Nexosis provides a public API which allows developers to quickly add machine learning to applications.
ModelDepot is aiming to make advancements in machine learning more accessible to engineers.
Effortlessly find and use curated pre-trained models to build better products that are augmented by cutting edge strides in the field.
IBM Watson now integrates directly into Apple's ML Core, so developers can build AI-powered apps to help improve every part of your life. 🤖
Alchemy is a collection of utilities and tools for the mobile machine learning community. At times, deep-learning and AI can seem like a magical process of transformation.
The Grader tool is available today, and we think this is the easiest, fastest, and most comprehensive way to benchmark and convert ML models for mobile.