Harmony News

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Examples repository: Python and R

Examples repository: Python and R

For users who have been using Harmony in their research, we have created an example scripts repository here https://github.com/harmonydata/harmony_examples This contains example R notebooks and Jupyter notebooks. You can upload your own example script if you have something to share with the research community. Example problems that users have been solving included: R examples Walkthrough R notebook in R Studio: Walkthrough R notebook in Google Colab: R Markdown to Check for Correspondence between Differently Worded Versions of the Same Scale Item View on Github - credit to Deanna Varley R Script to Check for Matches between Items from Different Scales View on Github - credit to Deanna Varley Python examples Walkthrough Python notebook Example script to create a crosswalk table on real survey data Example script to strip prefixes from questions Documentation View the PDF documentation of the R package on CRAN

Harmony Data Discovery

Harmony Data Discovery

New Feature in Development: Enhancing Harmony with User-Centred Discovery At Harmony, we’re working on a new feature aimed at making data discovery and exploration - through the use of meta-data - even more efficient and intuitive To ensure this feature addresses real needs, we’re conducting co-design sessions with researchers, data-managers and other users, allowing us to develop a tool that solves real-life user requirements. The Co-Design Approach: Co-design allows us to build this feature with direct input from those who will use it most.

Easy issues to get started on in Harmony: Python and R

Easy issues to get started on in Harmony: Python and R

We have a few more issues that have been added to the issue trackers. If you are new and would like to make a pull request in either the Python or R libraries feel free to pick these up - they should be quite small. Easy issues in Python library We would like to expose the “between instrument matches” and the “negation” switches in the Python library and then from the API side.

Competition to train a Large Language Model for Harmony on DOXA AI

Competition to train a Large Language Model for Harmony on DOXA AI

Harmony on DOXA AI: Train your own Large Language Model and win up to £500 in vouchers! Join a competition to train a Large Language Model for mental health data. You don’t need to have trained a Large Language Model before. Register on DOXA AI Enter the competition on DOXA AI by fine tuning your own large language model and improve Harmony! Join our Discord Join the Harmony Discord server. Check out the 🏅「matching-challenge」 channel!

Harmony at Women In Data™️

Harmony at Women In Data™️

Harmony at Women In Data™️ London Chapter (online event) On 22 November, we will present Harmony at Women In Data™️ London Chapter’s event on Application of Generative AI and LLMs. Thomas Wood will demonstrate Harmony and how it uses Gen AI. The event will be livestreamed. ⏲️ 25 minutes talk + 10 minutes Q&A 📅 Date: November 22nd 2024, 6:15 pm 📝 RSVP See also our past events 22 November 2024: Harmony at Women In Data™️ London Chapter 30 October 2024: Onboarding webinar for DOXA AI competition 8 October 2024: Harmony: a free online tool using LLMs for research in psychology and social sciences at AI|DL London 11 and 12 September 2024: Harmony at MethodsCon Futures in Manchester 2 July 2024: Harmony: NLP and generative models for psychology research at Pydata London 3 June 2024: Harmony Hackathon at UCL 5 May 2024: Harmony: A global platform for harmonisation, translation and cooperation in mental health at Melbourne Children’s LifeCourse Initiative seminar series.

Harmony at AI|DL meetup

Harmony at AI|DL meetup

Tech Talk at the AI|DL AI Meetup (London) Artificial Intelligence and Deep Learning for Enterprise Thomas Wood presents the Harmony project at the 19th AI and Deep Learning for Enterprise meetup on 8 October 2024. In case you missed the talk about Harmony on Tuesday at Civo Tech Junction with AI and Deep Learning for Enterprise sponsored by Daemon, you can now watch the recording of the live stream on AI|DL’s channel.

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