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A deep learning model for indirect estimation of clinical reference ranges
Open Jupyter-based course on generating synthetic biomedical data for teaching, benchmarking, and method development.
Get up and running with Kimi-K2.5, GLM-5, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma and other models.
GPT4All: Run Local LLMs on Any Device. Open-source and available for commercial use.
Cutting edge AI technology for automated audio transcription. A nice GUI for OpenAIs Whisper and pyannote (speaker identification)
OpenRefine is a free, open source power tool for working with messy data and improving it
R package for the estimation of reference limits from routine laboratory results
R Shiny Application to Estimate a Reference Interval from a Meta-Analysis
𝗟𝗮𝗯𝗥𝗜 𝗦𝗵𝗶𝗻𝘆 𝗔𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻: Tool for estimating reference intervals using the indirect sampling method.
This package supports the fully automated estimation of direct reference intervals (RIs) from clinical cohort data. An accompanying graphical output further helps to assess the accuracy of the infe…
The R code used for the data analysis of our publication
❗ This is a read-only mirror of the CRAN R package repository. reflimR — Reference Limit Estimation Using Routine Laboratory Data. Homepage: https://github.com/reflim/reflimR Report bugs for this p…
❗ This is a read-only mirror of the CRAN R package repository. referenceIntervals — Reference Intervals
A DSL for data-driven computational pipelines
BITES: Balanced Individual Treatment Effect for Survival data
Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE
An interpretable machine learning pipeline over knowledge graphs
A modular research data infrastructure that enables the FAIR-compliant management and exploration of Research Digital Objects
A Collaborative list of things to know before submitting to CRAN
DeepG, or 'Deep Genomics', is a R library which allows to train and apply deep neural networks on genomic datasets