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:	2.2.0
Imports:	reticulate, generics, png, ggplot2, ggpubr, glue
Suggests:	knitr, testthat, rmarkdown, curl, magrittr, data.table, vctrs, stats, utils, R.utils, viridis, zeallot
Published:	2022-03-21
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.pdf

Vignettes:

Basic Tabular Audio Classification Speech Recognition Basic Image Classification Bayesian Optimisation Callbacks Migrating from Catalyst Custom Image Classification Data augmentation GPT2 Head pose Migrating from Lightning Low-level ops Medical image Migrating from Ignite Migrating from Pytorch Multilabel classification Object detection Optimizer Question-Answering Super-Resolution GAN RoBERTa Text-summarization Time-Series

Downloads:

Package source:	fastai_2.2.0.tar.gz
Windows binaries:	r-devel: fastai_2.2.0.zip, r-release: fastai_2.2.0.zip, r-oldrel: fastai_2.2.0.zip
macOS binaries:	r-release (arm64): fastai_2.2.0.tgz, r-oldrel (arm64): fastai_2.2.0.tgz, r-release (x86_64): fastai_2.2.0.tgz, r-oldrel (x86_64): fastai_2.2.0.tgz
Old sources:	fastai archive

Linking:

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