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CRAN: Package fastai

fastai: Interface to 'fastai'

The 'fastai' <https://docs.fast.ai/index.html> library simplifies training fast and accurate neural networks using modern best practices. It is based on research in to deep learning best practices undertaken at 'fast.ai', including 'out of the box' support for vision, text, tabular, audio, time series, and collaborative filtering models.

Version: 2.2.2
Imports: reticulate, generics, png, ggplot2, ggpubr, glue
Suggests: knitr, testthat, rmarkdown, curl, magrittr, data.table, vctrs, stats, utils, R.utils, viridis, zeallot
Published: 2024-04-11
DOI: 10.32614/CRAN.package.fastai
Author: Turgut Abdullayev [ctb, cre, cph, aut]
Maintainer: Turgut Abdullayev <turqut.a.314 at gmail.com>
BugReports: https://github.com/EagerAI/fastai/issues
License: Apache License 2.0
URL: https://github.com/EagerAI/fastai
NeedsCompilation: no
Materials: README, NEWS
CRAN checks: fastai results

Documentation:

Reference manual: fastai.html , fastai.pdf
Vignettes: Basic Tabular (source, R code)
Audio Classification (source, R code)
Speech Recognition (source, R code)
Basic Image Classification (source, R code)
Bayesian Optimisation (source, R code)
Callbacks (source, R code)
Migrating from Catalyst (source, R code)
Custom Image Classification (source, R code)
Data augmentation (source, R code)
GPT2 (source, R code)
Head pose (source, R code)
Migrating from Lightning (source, R code)
Low-level ops (source, R code)
Medical image (source, R code)
Migrating from Ignite (source, R code)
Migrating from Pytorch (source, R code)
Multilabel classification (source, R code)
Object detection (source, R code)
Optimizer (source, R code)
Question-Answering (source, R code)
Super-Resolution GAN (source, R code)
RoBERTa (source, R code)
Text-summarization (source, R code)
Time-Series (source, R code)

Downloads:

Package source: fastai_2.2.2.tar.gz
Windows binaries: r-devel: fastai_2.2.2.zip, r-release: fastai_2.2.2.zip, r-oldrel: fastai_2.2.2.zip
macOS binaries: r-release (arm64): fastai_2.2.2.tgz, r-oldrel (arm64): fastai_2.2.2.tgz, r-release (x86_64): fastai_2.2.2.tgz, r-oldrel (x86_64): fastai_2.2.2.tgz
Old sources: fastai archive

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