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: 2.1.0
Imports: reticulate, generics, png, ggplot2, ggpubr, glue
Suggests: knitr, testthat, rmarkdown, curl, magrittr, data.table, vctrs, stats, utils, R.utils, viridis, zeallot
Published: 2021-10-25
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_2.1.0.tar.gz
Windows binaries: r-devel: fastai_2.1.0.zip, r-release: fastai_2.1.0.zip, r-oldrel: fastai_2.1.0.zip
macOS binaries: r-release (arm64): fastai_2.1.0.tgz, r-release (x86_64): fastai_2.1.0.tgz, r-oldrel: fastai_2.1.0.tgz
Old sources: fastai archive

Linking:

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