MLT has been working on a range of different machine learning and machine learning related projects related to open access, open education, research and Edge AI. If you're interested in contributing to a project feel free to sign up here. We're sending out regular open calls for projects.
ML Search is a search engine and knowledge platform that helps you find, store and share relevant Machine Learning resources fast eliminating hours of random browsing on the web. Join us and sign up for ML Search, currently in beta.
EDGE AI LAB
It started as a physical hardware lab in the heart of Tokyo with microcontrollers, edge devices and complementary hardware to experiment with, now mostly online. We're all about educating, building applications and participating in hackathons.
The most comprehensive code and paper tutorials on Convolutional Neural Networks, led by Machine Learning Engineer Dimitris Katsios. Learn how to read a scientific paper and reproduce a deep learning architecture from scratch.
PAPERS WITH ANNOTATIONS
Papers with Annotations (PwA) compiles multiple (AI-related) papers with illustrations, annotations, and brief explanations for technical keywords, terms and previous studies which makes them easier to read and to get the main idea intuitively.
STANFORD LECTURE NOTES – JP TRANSLATION
A team of bilingual MLT members has translated illustrated Deep Learning lecture notes covering the content of the CS 230 Deep Learning class at Stanford in 2019 into Japanese.