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Determine system requirements from R packages using the RStudio Package Manager. This is a weekend project, not a real package, so please think twice before using it for anything serious.
PyGWalker: Turn your pandas dataframe into an interactive UI for visual analysis
Combining tree-boosting with Gaussian process and mixed effects models
Vizro is a toolkit for creating modular data visualization applications.
π A React Framework for building extensible drag and drop page editors
Saas CRM/ERP Starter Kit for Nextjs Prisma and Postgres. An excellent resource for buildnig things in Nextjs.
Deploying an R Shiny Application in Quarto with Shinylive (No Shiny Server Required)
A helpful 5-page machine learning cheatsheet to assist with exam reviews, interview prep, and anything in-between.
Sioyek is a PDF viewer with a focus on textbooks and research papers
NHS AI Lab Skunkworks project: Bed Allocation
Temporian is an open-source Python library for preprocessing β‘ and feature engineering π temporal data π for machine learning applications π€
Python bindings for the Transformer models implemented in C/C++ using GGML library.
π Build and manage real-life ML, AI, and data science projects with ease!
A simple, extensible Markov chain generator.
Synthetic data generators for structured and unstructured text, featuring differentially private learning.
A system for automating the design of predictive modeling pipelines tailored for clinical prognosis.
A framework for prototyping and benchmarking imputation methods
A library for generating and evaluating synthetic tabular data for privacy, fairness and data augmentation.
Make Your Company Data Driven. Connect to any data source, easily visualize, dashboard and share your data.
A guidance language for controlling large language models.
Fuzzy string matching, grouping, and evaluation.
A lightweight opinionated ETL framework, halfway between plain scripts and Apache Airflow
MEDIQA-Chat Shared Tasks @ ACL-ClinicalNLP 2023
Duration-Based Quantities of Interest and Simulation Methods for the Cox Proportional Hazards Model
Regression modeling of sub-distribution functions in competing risks
Tutorial on model assessment, model selection and inference after model selection