Labeled data is vital for successful ML models. Open source data labeling platforms facilitate the development of ML models by allowing customization.
Open‐source tools aid the reproducibility of data analysis, but analogous tools are generally lacking for sample collection and other early stages of scientific inquiry.We introduce the R package baRcodeR for generating informative identifier (ID) codes with digitally encoded linear or 2D barcodes. ...
Researchers from MIT Media Lab, the University of California at Santa Barbara and Osaka University, have compiled an open-source, easy-to-use character generation pipeline. It combines AI models for facial gestures, motion, and voice that can be used to create a variety of audio and video ...
OpenLabeling - Open source tool for labelling images with support for labels, edges, as well as image resizing and zooming in. PixelAnnotationTool - Image annotation tool with ability to "colour" on the images to select labels for segmentation. Process is semi-automated with the watershed marked...
MONAI Label is a server-client system that facilitates interactive medical image annotation by using AI. It is an open-source and easy-to-install ecosystem that can run locally on a machine with single or multiple GPUs. Both server and client work on the same/different machine. It shares th...
www.nature.com/scientificreports OPEN Label-based routing for a family of small-world Farey graphs received: 13 November 2015 accepted: 20 April 2016 Published: 11 May 2016 Yinhu Zhai1,2 &Yinhe Wang2 We introduce an informative labelling method for vertices in a family of Farey graphs, ...
Training neural networks requires well labelled datasets. Sadly, labelling datasets by humans or by machines is an error-prone process. A leading AI expert Andrew Ng discovered that "In many industries where giant data sets simply don’t exist, I think the focus has to shift from big data to...
In recent years, cheminformatics has experienced significant advancements through the development of new open-source software tools based on various cheminformatics programming toolkits. However, adopting these toolkits presents challenges, including proper installation, setup, deployment, and compatibility managem...
InnerEye OSS tools make extensive use of Azure Machine Learning to increase productivity by enabling training on GPU clusters, MLOps, and image labelling. For more details, seeAzure Machine Learning – ML as a service | Microsoft Azure(opens in new tab) ...
Labelling policy Each repository has more details documentation on getting setup and adding new features, for this repository check out the following guides: Setting up Libraries.io locally for Development Adding support for a new package manager ...