We intend to keep the repository functioning with its current feature set to support existing applications built on it but will not be adding any new features or functionality.
If you would like to stay informed of progress in the Snorkel open source project, join the Snorkel email list for relatively rare announcements e. This project builds on Snorkel in an attempt to understand how massively multi-task supervision and learning changes the way people program. Multitask learning MTL is an established technique that effectively pools samples by sharing representations across related tasks , leading to better performance with less training data for a great primer of recent advances, see this survey.
However, most existing multi-task systems rely on two or three fixed, hand-labeled training sets. Instead, weak supervision opens the floodgates, allowing users to add arbitrarily many weakly-supervised tasks. We call this setting massively multitask learning , and envision models with tens or hundreds of tasks with supervision of widely varying quality. Our goal with the Snorkel MeTaL project is to understand this new regime, and the programming model it entails.
More concretely, Snorkel MeTaL is a framework for using multi-task weak supervision MTS , provided by users in the form of labeling functions applied over unlabeled data, to train multi-task models.
Snorkel MeTaL can use the output of labeling functions developed and executed in Snorkel , or take in arbitrary label matrices representing weak supervision from multiple sources of unknown quality, and then use this to train auto-compiled MTL networks.
Snorkel MeTaL uses a new matrix approximation approach to learn the accuracies of diverse sources with unknown accuracies, arbitrary dependency structures, and structured multi-task outputs. This makes it significantly more scalable than our previous approaches. Check out the tutorials to get familiar with the Snorkel MeTaL codebase! If you are looking for help regarding how to use a particular class or method, the best references are in order :. This sample is for a single-task problem.
H II regions are caused when stars are forming and are very hot, causing the plasma to heat up. Planetary nebulae are made when where a dying star has thrown off its outer layers. This causes the core of the star to heat up the plasma. A nebula's color depends on what chemicals are in it, and how ionized it is.
Perhaps just hit all of those you can find.Nov 28, · The Crab Nebula is a supernova remnant, all that remains of a tremendous stellar explosion. Observers in China and Japan recorded the supernova nearly 1, years ago, in Credit: NASA, ESA, J. Hester and A. Loll (Arizona State University) The Hubble Space Telescope is a project of international cooperation between NASA and the European Space Agency. NASA's Views: K.