rdm
paperai
rdm | paperai | |
---|---|---|
2 | 19 | |
106 | 1,198 | |
0.9% | 1.4% | |
0.0 | 5.9 | |
over 1 year ago | 5 months ago | |
Python | Python | |
MIT License | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
rdm
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Ask HN: How do you keep track of software requirements and test them?
Been working as a consultant and engineer on FDA regulated software for about 8 years now. I have seen strategies from startups to huge companies.
I have seen requirements captured in markdown files, spreadsheets, ticket management systems like Redmine, Pivotal, Jira, GitLab, Azure Devops, GitHub Issues, and home grown systems.
If I had to start a new medical device from scratch today, I would use Notion + https://github.com/innolitics/rdm to capture user needs, requirements, risks, and test cases. Let me know if there is interest and I can make some Notion templates public. I think the ability to easily edit relations without having to use IDs is nice. And the API makes it possible to dump it all to yaml, version control and generate documentation for e-signature when you need it. Add on top of that an easy place to author documentation, non-software engineer interoperability, discoverable SOPs, granular permissions, and I think you have a winning combination.
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How We Develop AI for 510(k)-Cleared Devices
We've had somewhat of a hard time applying agile to IEC 62304, although it's not impossible.
This document has some useful tips:
AAMI TIR45:2012 (R2018) Guidance On The Use Of AGILE Practices In The Development Of Medical Device Software
Also, we have an open source offering that includes an IEC62304 compliant software plan. You can check this out here:
https://github.com/innolitics/rdm/blob/master/rdm/init_files...
paperai
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Oracle of Zotero: LLM QA of Your Research Library
Nice project!
I've spent quite a lot of time in the medical/scientific literature space. With regards to LLMs, specifically RAG, how the data is chunked is quite important. With that, I have a couple projects that might be beneficial additions.
paperetl (https://github.com/neuml/paperetl) - supports parsing arXiv, PubMed and integrates with GROBID to handle parsing metadata and text from arbitrary papers.
paperai (https://github.com/neuml/paperai) - builds embeddings databases of medical/scientific papers. Supports LLM prompting, semantic workflows and vector search. Built with txtai (https://github.com/neuml/txtai).
While arbitrary chunking/splitting can work, I've found that integrating parsing that has knowledge of medical/scientific paper structure increases the overall accuracy and experience of downstream applications.
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Build Personal ChatGPT Using Your Data
https://github.com/neuml/paperai
Disclaimer: I am the author of both
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[P] Parse research papers into structured data
paperai | paperetl
- Show HN: Semantic search and workflows for medical/scientific papers
- Semantic search and workflows for medical/scientific papers
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# Run txtai in native code
action: translate input: txtai executes machine-learning workflows to transform data and build AI-powered semantic search applications. output: txtai exécute des workflows d'apprentissage automatique pour transformer les données et construire des applications de recherche sémantique alimentées par l'IA. action: translate input: Traditional search systems use keywords to find data output: Les systèmes de recherche traditionnels utilisent des mots-clés pour trouver des données action: summary input: https://github.com/neuml/txtai output: txtai executes machine-learning workflows to transform data and build AI-powered semantic search applications. Semantic search applications have an understanding of natural language and identify results that have the same meaning, not necessarily the same keywords. API bindings for JavaScript, Java, Rust and Go. Cloud-native architecture scales out with container orchestration systems (e. g. Kubernetes) action: summary input: https://github.com/neuml/paperai output: paperai is an AI-powered literature discovery and review engine for medical/scientific papers. Paperai was used to analyze the COVID-19 Open Research Dataset (CORD-19) paperai and NeuML have been recognized in the following articles: Cord-19 Kaggle Challenge Awards Machine-Learning Experts Delve Into 47,000 Papers on Coronavirus Family. real 0m22.478s user 0m13.776s sys 0m3.218s
What are some alternatives?
strictdoc - Software for technical documentation and requirements management.
txtai - 💡 All-in-one open-source embeddings database for semantic search, LLM orchestration and language model workflows
paperetl - 📄 ⚙️ ETL processes for medical and scientific papers
tika-python - Tika-Python is a Python binding to the Apache Tika™ REST services allowing Tika to be called natively in the Python community.
MkDocs - Project documentation with Markdown.
SciencePlots - Matplotlib styles for scientific plotting
wtfpython - What the f*ck Python? 😱
sentence-transformers - Multilingual Sentence & Image Embeddings with BERT
doorstop - Requirements management using version control.
faiss - A library for efficient similarity search and clustering of dense vectors.
professional-programming - A collection of learning resources for curious software engineers
scibert - A BERT model for scientific text.