Showing 5 of total 5 results (show query)
hauselin
ollamar:'Ollama' Language Models
An interface to easily run local language models with 'Ollama' <https://ollama.com> server and API endpoints (see <https://github.com/ollama/ollama/blob/main/docs/api.md> for details). It lets you run open-source large language models locally on your machine.
Maintained by Hause Lin. Last updated 9 days ago.
89 stars 9.32 score 74 scripts 5 dependents
jcrodriguez1989
chatgpt:Interface to 'ChatGPT' from R
'OpenAI's 'ChatGPT' <https://chat.openai.com/> coding assistant for 'RStudio'. A set of functions and 'RStudio' addins that aim to help the R developer in tedious coding tasks.
Maintained by Juan Cruz Rodriguez. Last updated 4 months ago.
assistantchatgptgpt-3gpt-4hacktoberfestllmnlpopenairstatsesrstudiorstudio-addin
321 stars 6.81 score 50 scripts
mlverse
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.
Maintained by Edgar Ruiz. Last updated 4 months ago.
data-sciencedplyrllmpolarspython
86 stars 6.61 score 94 scripts
ineelhere
shiny.ollama:R 'shiny' Interface for Chatting with Large Language Models Offline on Local with 'ollama'
Chat with large language models like 'deepseek-r1', 'nemotron', 'llama', 'qwen' and many more on your machine without internet with complete privacy via 'ollama', powered by R 'shiny' interface. For more information on 'ollama', visit <https://ollama.com>.
Maintained by Indraneel Chakraborty. Last updated 21 days ago.
deepseek-r1llama3llmlocal-llmoffline-firstoffline-llmollamaollama-appollama-guishinyshinyapp
9 stars 5.50 score 2 scripts
dylanpieper
hellmer:Batch Processing for Chat Models
Batch processing framework for 'ellmer' chat models. Provides both sequential and parallel processing of chat interactions with features including tool calling and structured data extraction. Enables workflow management through progress tracking and recovery, automatic retry with backoff, and timeout handling. Additional quality-of-life features include verbosity control and sound notifications. Parallel processing is implemented via the 'future' framework. Includes methods for retrieving progress status, chat texts, and chat objects.
Maintained by Dylan Pieper. Last updated 12 days ago.
batchbatch-processingellmerllm
7 stars 5.32 score