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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.
Getting started
README.md
Audio Classification"
Basic Image Classification"
Basic Tabular"
Bayesian Optimisation"
Callbacks"
Custom Image Classification"
Data augmentation"
GPT2"
Head pose"
Low-level ops"
Medical image"
Migrating from Catalyst"
Migrating from Ignite"
Migrating from Lightning"
Migrating from Pytorch"
Multilabel classification"
Object detection"
Optimizer"
Question-Answering"
RoBERTa"
Speech Recognition"
Super-Resolution GAN"
Text-summarization"
Time-Series"
Browse package contents
Package details |
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|---|---|
| Author | Turgut Abdullayev [ctb, cre, cph, aut] |
| Maintainer | Turgut Abdullayev <turqut.a.314@gmail.com> |
| License | Apache License 2.0 |
| Version | 2.2.2 |
| URL | https://github.com/EagerAI/fastai |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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Try the fastai package in your browser
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