FAIR Research (Findable, Accessible, Interoperable, Reusable)

GitHub is convenient for making data accessible. However, one important FAIR principle, F1, is that “(meta)data are assigned a globally unique ...

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet. Segment Anything · Facebookresearch/detectron2 · Facebookresearch/faiss

fAIr is a free and open-source AI service that allows OSM community members to create and train their own AI models for mapping in their region of interest.

Fair provides standard widgets, which can be used as a new dynamic page or as part of an existing Flutter page, such as typography/style modification of ... README-zh.md · Issues · Pull requests

A simple climate model, or emulator, useful for producing global mean temperature projections from a wide range of emissions or prescribed forcing scenarios.

This is the official implementation for the paper 'Frequency-aware Image Restoration for Industrial Visual Anomaly Detection'.

FAIR, a collaborative robot company that prioritizes independent research and development of all core components. 50 followers · 0 following.

Command line tool to analyze a GitHub or GitLab repository's compliance with the fair-software.eu recommendations. HTML 59 24.

fairseq2 is a sequence modeling toolkit that allows researchers to train custom models for content generation tasks. Who uses it? Many FAIR teams utilize ... Install From Source · Setup.py · Issues 64 · Pull requests 15

Best practices, tools and tips for integrating FAIR data principals into your daily work - FAIR Research (Findable, Accessible, Interoperable, Reusable)