chattr - Interact with Large Language Models in 'RStudio'

Enables user interactivity with large-language models ('LLM') inside the 'RStudio' integrated development environment (IDE). The user can interact with the model using the 'shiny' app included in this package, or directly in the 'R' console. It comes with back-ends for 'OpenAI', 'GitHub' 'Copilot', and 'LlamaGPT'.

Last updated 20 days ago

10.29 score 209 stars 1 dependents 71 scripts 1.4k downloads

mall - Run Multiple Large Language Model Predictions Against a Table, or Vectors

Run multiple 'Large Language Model' predictions against a table. The predictions run row-wise over a specified column. It works using a one-shot prompt, along with the current row's content. The prompt that is used will depend of the type of analysis needed.

Last updated 2 months ago

data-sciencedplyrllmpolarspython

6.55 score 76 stars 94 scripts 704 downloads

connections - Integrates with the 'RStudio' Connections Pane and 'pins'

Enables 'DBI' compliant packages to integrate with the 'RStudio' connections pane, and the 'pins' package. It automates the display of schemata, tables, views, as well as the preview of the table's top 1000 records.

Last updated 1 years ago

connection-panedatabase-connectionpinsrstudio

6.50 score 57 stars 1 dependents 124 scripts 510 downloads

dbplot - Simplifies Plotting Data Inside Databases

Leverages 'dplyr' to process the calculations of a plot inside a database. This package provides helper functions that abstract the work at three levels: outputs a 'ggplot', outputs the calculations, outputs the formula needed to calculate bins.

Last updated 5 years ago

5.73 score 8 stars 186 scripts 2.4k downloads

pysparklyr - Provides a 'PySpark' Back-End for the 'sparklyr' Package

It enables 'sparklyr' to integrate with 'Spark Connect', and 'Databricks Connect' by providing a wrapper over the 'PySpark' 'python' library.

Last updated 6 days ago

databrickspysparksparkspark-connect

5.16 score 15 stars 12 scripts 706 downloads

sparkxgb - Interface for 'XGBoost' on 'Apache Spark'

A 'sparklyr' <https://spark.posit.co/> extension that provides an R interface for 'XGBoost' <https://github.com/dmlc/xgboost> on 'Apache Spark'. 'XGBoost' is an optimized distributed gradient boosting library.

Last updated 10 months ago

2.23 score 34 scripts 695 downloads