R-universe search: gpt

Showing 22 of total 22 results (show query)

oobianom

symbol.equation.gpt:Powerful User Interface to Build Equations and Add Symbols

User Interface for adding symbols, smileys, arrows, building mathematical equations using 'LaTeX' or 'r2symbols'. Built for use in development of 'Markdown' and 'Shiny' Outputs.

Maintained by Obinna Obianom. Last updated 1 years ago.

36.1 match 6 stars 4.48 score 3 scripts

mikkelvembye

AIscreenR:AI Screening Tools in R for Systematic Reviewing

Provides functions to conduct title and abstract screening in systematic reviews using large language models, such as the Generative Pre-trained Transformer (GPT) models from 'OpenAI' <https://platform.openai.com/>. These functions can enhance the quality of title and abstract screenings while reducing the total screening time significantly. In addition, the package includes tools for quality assessment of title and abstract screenings, as described in Vembye, Christensen, Mølgaard, and Schytt (2024) <DOI:10.31219/osf.io/yrhzm>.

Maintained by Mikkel H. Vembye. Last updated 2 months ago.

gpt openai screening systematic-review

19.1 match 10 stars 6.11 score 7 scripts

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 3 months ago.

assistant chatgpt gpt-3 gpt-4 hacktoberfest llm nlp openai rstatses rstudio rstudio-addin

16.9 match 321 stars 6.81 score 50 scripts

michelnivard

gptstudio:Use Large Language Models Directly in your Development Environment

Large language models are readily accessible via API. This package lowers the barrier to use the API inside of your development environment. For more on the API, see <https://platform.openai.com/docs/introduction>.

Maintained by James Wade. Last updated 5 days ago.

chatgpt gpt-3 rstudio rstudio-addin

9.3 match 924 stars 10.83 score 43 scripts 1 dependents

kumes

chatAI4R:Chat-Based Interactive Artificial Intelligence for R

The Large Language Model (LLM) represents a groundbreaking advancement in data science and programming, and also allows us to extend the world of R. A seamless interface for integrating the 'OpenAI' Web APIs into R is provided in this package. This package leverages LLM-based AI techniques, enabling efficient knowledge discovery and data analysis (see 'OpenAI' Web APIs details <https://openai.com/blog/openai-api>). The previous functions such as seamless translation and image generation have been moved to other packages 'deepRstudio' and 'stableDiffusion4R'.

Maintained by Satoshi Kume. Last updated 1 months ago.

ai bioinformatics chatgpt gpt image image-generation

17.7 match 14 stars 4.45 score 3 scripts

psychbruce

PsychWordVec:Word Embedding Research Framework for Psychological Science

An integrative toolbox of word embedding research that provides: (1) a collection of 'pre-trained' static word vectors in the '.RData' compressed format <https://psychbruce.github.io/WordVector_RData.pdf>; (2) a series of functions to process, analyze, and visualize word vectors; (3) a range of tests to examine conceptual associations, including the Word Embedding Association Test <doi:10.1126/science.aal4230> and the Relative Norm Distance <doi:10.1073/pnas.1720347115>, with permutation test of significance; (4) a set of training methods to locally train (static) word vectors from text corpora, including 'Word2Vec' <arXiv:1301.3781>, 'GloVe' <doi:10.3115/v1/D14-1162>, and 'FastText' <arXiv:1607.04606>; (5) a group of functions to download 'pre-trained' language models (e.g., 'GPT', 'BERT') and extract contextualized (dynamic) word vectors (based on the R package 'text').

Maintained by Han-Wu-Shuang Bao. Last updated 1 years ago.

11.5 match 22 stars 4.04 score 10 scripts

lygitdata

PaLMr:Interface for 'Google Pathways Language Model 2 (PaLM 2)'

'Google's 'PaLM 2' <https://developers.generativeai.google/> as a coding and writing assistant designed for 'R' and 'RStudio.' With a range of functions, including natural language processing and coding optimization, to assist R developers in simplifying tedious coding tasks and content searching.

Maintained by Li Yuan. Last updated 1 years ago.

ai google gpt machine-learning nlp palm-api palm2 rstudio

11.0 match 6 stars 3.48 score

mlverse

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'.

Maintained by Edgar Ruiz. Last updated 1 months ago.

3.1 match 215 stars 10.55 score 71 scripts 1 dependents

simonpcouch

detectors:Prediction Data from GPT Detectors

Researchers carried out a series of experiments passing a number of essays to different GPT detection models. Juxtaposing detector predictions for papers written by native and non-native English writers, the authors argue that GPT detectors disproportionately classify real writing from non-native English writers as AI-generated.

Maintained by Simon Couch. Last updated 1 years ago.

7.9 match 7 stars 3.62 score 12 scripts

jbgruber

askgpt:Asking GPT About R Stuff

A chat package connecting to API endpoints by 'OpenAI' (<https://platform.openai.com/>) to answer questions (about R).

Maintained by Johannes Gruber. Last updated 9 months ago.

4.9 match 56 stars 5.68 score 17 scripts

cran

sparseSEM:Elastic Net Penalized Maximum Likelihood for Structural Equation Models with Network GPT Framework

Provides elastic net penalized maximum likelihood estimator for structural equation models (SEM). The package implements `lasso` and `elastic net` (l1/l2) penalized SEM and estimates the model parameters with an efficient block coordinate ascent algorithm that maximizes the penalized likelihood of the SEM. Hyperparameters are inferred from cross-validation (CV). A Stability Selection (STS) function is also available to provide accurate causal effect selection. The software achieves high accuracy performance through a `Network Generative Pre-trained Transformer` (Network GPT) Framework with two steps: 1) pre-trains the model to generate a complete (fully connected) graph; and 2) uses the complete graph as the initial state to fit the `elastic net` penalized SEM.

Maintained by Anhui Huang. Last updated 5 months ago.

openblas

6.6 match 3.30 score 20 scripts

agusnieto77

ACEP:Análisis Computacional de Eventos de Protesta

La librería 'ACEP' contiene funciones específicas para desarrollar análisis computacional de eventos de protesta. Asimismo, contiene bases de datos con colecciones de notas sobre protestas y diccionarios de palabras conflictivas. La colección de diccionarios reune diccionarios de diferentes orígenes. The 'ACEP' library contains specific functions to perform computational analysis of protest events. It also contains a database with collections of notes on protests and dictionaries of conflicting words. Collection of dictionaries that brings together dictionaries from different sources.

Maintained by Agustín Nieto. Last updated 1 years ago.

computer-aided-detection conflict-analysis conflict-detection dictionaries nlp-keywords-extraction protest-events text-mining visualization

3.6 match 10 stars 5.48 score 9 scripts

stevecondylios

gitGPT:Automated Git Commit Messages using the 'OpenAI' 'GPT' Model

Automates the process of adding, committing, and pushing changes to a 'git' repository using commit messages generated by passing the git diff output to the 'OpenAI' 'GPT-3.5 Turbo' model (<https://platform.openai.com/docs/models/gpt-3>).

Maintained by Steve Condylios. Last updated 2 years ago.

5.2 match 7 stars 3.54 score 2 scripts

ropensci

pangoling:Access to Large Language Model Predictions

Provides access to word predictability estimates using large language models (LLMs) based on 'transformer' architectures via integration with the 'Hugging Face' ecosystem. The package interfaces with pre-trained neural networks and supports both causal/auto-regressive LLMs (e.g., 'GPT-2'; Radford et al., 2019) and masked/bidirectional LLMs (e.g., 'BERT'; Devlin et al., 2019, <doi:10.48550/arXiv.1810.04805>) to compute the probability of words, phrases, or tokens given their linguistic context. By enabling a straightforward estimation of word predictability, the package facilitates research in psycholinguistics, computational linguistics, and natural language processing (NLP).

Maintained by Bruno Nicenboim. Last updated 4 days ago.

nlp psycholinguistics transformers

3.3 match 8 stars 4.90 score

jameshwade

gpttools:Extensions and Tools for gptstudio

gpttools is an R package that provides extensions to gptstudio to provide devtools-like functionality using the latest natural language processing (NLP) models. It is designed to make package development easier by providing a range of tools and functions that can be used to improve the quality of your package's documentation, testing, and maybe even functionality.

Maintained by James Wade. Last updated 7 months ago.

chatgpt nlp openai package-development rstudio-addin

2.3 match 293 stars 7.06 score 14 scripts

cran

meta.shrinkage:Meta-Analyses for Simultaneously Estimating Individual Means

Implement meta-analyses for simultaneously estimating individual means with shrinkage, isotonic regression and pretests. Include our original implementation of the isotonic regression via the pool-adjacent-violators algorithm (PAVA) algorithm. For the pretest estimator, the confidence interval for individual means are provided. Methodologies were published in Taketomi et al. (2021) <doi:10.3390/axioms10040267>, Taketomi et al. (2022) <doi:10.3390/a15010026>, Taketomi et al. (2023-) (under review).

Maintained by Nanami Taketomi. Last updated 2 years ago.

5.1 match 2.00 score

tidymodels

modeldatatoo:More Data Sets Useful for Modeling Examples

More data sets used for demonstrating or testing model-related packages are contained in this package. The data sets are downloaded and cached, allowing for more and bigger data sets.

Maintained by Emil Hvitfeldt. Last updated 12 months ago.

2.0 match 7 stars 4.60 score 38 scripts

dylanpieper

batchLLM:Batch Process LLM Text Completions Using a Data Frame

Batch process large language model (LLM) text completions using data frame rows, with support for OpenAI's 'GPT' (<https://chat.openai.com>), Anthropic's 'Claude' (<https://claude.ai>), and Google's 'Gemini' (<https://gemini.google.com>). Includes features such as local storage, metadata logging, API rate limiting delays, and a 'shiny' app addin.

Maintained by Dylan Pieper. Last updated 1 months ago.

depreciated

0.5 match 11 stars 4.85 score 6 scripts

skranz

gpt4r:ChatGPT templates for use in R and via mygpt in RStudio.

Tools to use ChatGPT via YAML templates Typically used with mygpt to create customized RStudio Addins User can experiment with Chat-GPT inclusion by adapting YAML templates. By default ChatGPT usage will be logged in a local folder. Originally inspired by https://github.com/jcrodriguez1989/chatgpt

Maintained by Sebastian Kranz. Last updated 2 years ago.

0.5 match 7 stars 3.02 score 2 scripts 1 dependents

akarl46556

SVEMnet:Self-Validated Ensemble Models with Elastic Net Regression

Implements Self-Validated Ensemble Models (SVEM, Lemkus et al. (2021) <doi:10.1016/j.chemolab.2021.104439>) using Elastic Net regression via 'glmnet' (Friedman et al. <doi:10.18637/jss.v033.i01>). SVEM averages predictions from multiple models fitted to fractionally weighted bootstraps of the data, tuned with anti-correlated validation weights. Also implements the randomized permutation whole model test for SVEM (Karl (2024) <doi:10.1016/j.chemolab.2024.105122>). \\Code for the whole model test was taken from the supplementary material of Karl (2024). Development of this package was assisted by 'GPT o1-preview' for code structure and documentation.

Maintained by Andrew T. Karl. Last updated 3 months ago.

0.5 match 2.60 score 5 scripts