JOSS Papers: Generative models

Published Papers

published Published 19 days ago

BenchmarkDataNLP.jl: Synthetic Data Generation for NLP Benchmarking

Julia

10.21105/joss.07844

published Published 2 months ago

ReadmeReady: Free and Customizable Code Documentation with LLMs - A Fine-Tuning Approach

Python Jupyter Notebook

10.21105/joss.07489

published Published 2 months ago

LongMemory.jl: Generating, Estimating, and Forecasting Long Memory Models in Julia

Julia

10.21105/joss.07708

published Published 5 months ago

SBIAX: Density-estimation simulation-based inference in JAX

Python Roff

10.21105/joss.07606

published Published 5 months ago

Metasyn: Transparent Generation of Synthetic Tabular Data with Privacy Guarantees

Python

10.21105/joss.07099

published Published 6 months ago

gratia: An R package for exploring generalized additive models

R SCSS

10.21105/joss.06962

published Published 10 months ago

regional-mom6: A Python package for automatic generation of regional configurations for the Modular Ocean Model 6

Jupyter Notebook Python

10.21105/joss.06857

published Published 11 months ago

SSN2: The next generation of spatial stream network modeling in R

R C

@michaeldumelle

10.21105/joss.06389

published Published 11 months ago

TelescopeML -- I. An End-to-End Python Package for Interpreting Telescope Datasets through Training Machine Learning Models, Generating Statistical Reports, and Visualizing Results

Python

@EhsanGharibNezhad

10.21105/joss.06346

published Published 12 months ago

Multivariate Covariance Generalized Linear Models in Python: The mcglm library

Python R Jupyter Notebook JavaScript

10.21105/joss.06037

Displaying papers 1 - 10 of 38 in total

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