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torch

R Interface to Torch

https://github.com/mlverse/torch

Science Score: 36.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • ○
    CITATION.cff file
  • ✓
    codemeta.json file
    Found codemeta.json file
  • ✓
    .zenodo.json file
    Found .zenodo.json file
  • ○
    DOI references
  • ○
    Academic publication links
  • ✓
    Committers with academic emails
    3 of 48 committers (6.3%) from academic institutions
  • ○
    Institutional organization owner
  • ○
    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (15.8%) to scientific vocabulary

Keywords

autograd deep-learning r torch

Keywords from Contributors

interpretability interactive distributed observability fairness visualisation agents unit-testing langchain standardization
Last synced: 6 months ago · JSON representation

Repository

R Interface to Torch

Basic Info
  • Host: GitHub
  • Owner: mlverse
  • License: other
  • Language: C++
  • Default Branch: main
  • Homepage: https://torch.mlverse.org
  • Size: 140 MB
Statistics
  • Stars: 544
  • Watchers: 17
  • Forks: 80
  • Open Issues: 128
  • Releases: 28
Topics
autograd deep-learning r torch
Created about 6 years ago · Last pushed 6 months ago
Metadata Files
Readme Changelog Contributing License

README.Rmd 

---
output: github_document
---
 


```{r setup, include = FALSE}
knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>",
  fig.path = "man/figures/README-",
  out.width = "100%"
)
torch::torch_manual_seed(1)
```

# torch 

[![Lifecycle: experimental](https://img.shields.io/badge/lifecycle-experimental-orange.svg)](https://lifecycle.r-lib.org/articles/stages.html)
[![Test](https://github.com/mlverse/torch/actions/workflows/main.yaml/badge.svg)](https://github.com/mlverse/torch/actions/workflows/main.yaml)
[![CRAN status](https://www.r-pkg.org/badges/version/torch)](https://CRAN.R-project.org/package=torch)
[![](https://cranlogs.r-pkg.org/badges/torch)](https://cran.r-project.org/package=torch)
[![Discord](https://img.shields.io/discord/837019024499277855?logo=discord)](https://discord.com/invite/s3D5cKhBkx)


## Installation

torch can be installed from CRAN with:

```r
install.packages("torch")
```

You can also install the development version with:

```r
remotes::install_github("mlverse/torch")
```

At the first package load additional software will be 
installed. See also the full [installation guide](https://torch.mlverse.org/docs/articles/installation.html) here.

## Examples

You can create torch tensors from R objects with the `torch_tensor` function and convert them back to R objects with `as_array`.

```{r}
library(torch)
x <- array(runif(8), dim = c(2, 2, 2))
y <- torch_tensor(x, dtype = torch_float64())
y
identical(x, as_array(y))
```

### Simple Autograd Example

In the following snippet we let torch, using the autograd feature, calculate the derivatives:

```{r}
x <- torch_tensor(1, requires_grad = TRUE)
w <- torch_tensor(2, requires_grad = TRUE)
b <- torch_tensor(3, requires_grad = TRUE)
y <- w * x + b
y$backward()
x$grad
w$grad
b$grad
```

## Contributing

No matter your current skills it's possible to contribute to `torch` development.
See the [contributing guide](https://torch.mlverse.org/docs/contributing) for more information.

Owner

  • Name: mlverse
  • Login: mlverse
  • Kind: organization

Open source libraries to scale Data Science

GitHub Events

Total
  • Create event: 31
  • Release event: 4
  • Issues event: 100
  • Watch event: 47
  • Delete event: 26
  • Issue comment event: 247
  • Push event: 326
  • Pull request review event: 29
  • Pull request review comment event: 20
  • Pull request event: 128
  • Fork event: 23
Last Year
  • Create event: 31
  • Release event: 4
  • Issues event: 100
  • Watch event: 47
  • Delete event: 26
  • Issue comment event: 247
  • Push event: 326
  • Pull request review event: 29
  • Pull request review comment event: 20
  • Pull request event: 128
  • Fork event: 23

Committers

Last synced: 9 months ago

All Time
  • Total Commits: 3,850
  • Total Committers: 48
  • Avg Commits per committer: 80.208
  • Development Distribution Score (DDS): 0.222
Past Year
  • Commits: 152
  • Committers: 10
  • Avg Commits per committer: 15.2
  • Development Distribution Score (DDS): 0.336
Top Committers
Name Email Commits
Daniel Falbel d****l@g****m 2,997
Javier Luraschi j****i@h****m 389
Hamada S. Badr h****r@g****m 98
Sebastian Fischer s****r@g****m 79
skeydan k****a@g****e 60
Krzysztof Joachimiak k****2@g****m 51
Sigrid Keydana 4****n 20
C. Regouby c****y@f****r 19
Christophe_Regouby c****y@a****m 14
محمد الدسوقي 3****0 12
kevinykuo k****o@g****m 11
rdinnager r****e@g****m 10
Egill Fridgeirsson e****x@g****m 9
Jonathan Bratt j****t@m****m 8
dependabot[bot] 4****] 6
Quyu Kong k****u@g****m 6
Krzysztof Joachimiak j****f@g****m 6
Dirk Schumacher m****l@d****t 6
Yuhki Yano i****n@k****p 5
GitHub Actions a****s@g****m 4
Athos Damiani a****i@g****m 4
shikokuchuo 5****o 3
Daniel Falbel d****l@f****m 2
Matthew T. Warkentin m****n@m****a 2
mtkerbeR 4****R 2
jwijffels j****s@b****e 2
Yitao Li y****o@r****m 2
Jon Harmon j****k@g****m 2
Jacqueline Nolis j****s 2
olivroy 5****y 1
and 18 more...
Committer Domains (Top 20 + Academic)
baker.edu.au: 1 american.edu: 1 west-inc.com: 1 rstudio.com: 1 bnosac.be: 1 mail.utoronto.ca: 1 fmail.com: 1 github.com: 1 keh.biglobe.ne.jp: 1 dirk-schumacher.net: 1 macmillan.com: 1 airbus.com: 1 free.fr: 1 gmx.de: 1

Issues and Pull Requests

Last synced: 6 months ago

All Time
  • Total issues: 225
  • Total pull requests: 277
  • Average time to close issues: about 2 months
  • Average time to close pull requests: 13 days
  • Total issue authors: 116
  • Total pull request authors: 20
  • Average comments per issue: 1.8
  • Average comments per pull request: 0.62
  • Merged pull requests: 220
  • Bot issues: 0
  • Bot pull requests: 24
Past Year
  • Issues: 81
  • Pull requests: 151
  • Average time to close issues: 7 days
  • Average time to close pull requests: 5 days
  • Issue authors: 45
  • Pull request authors: 14
  • Average comments per issue: 0.86
  • Average comments per pull request: 0.58
  • Merged pull requests: 105
  • Bot issues: 0
  • Bot pull requests: 22
View more stats
Top Authors
Issue Authors
  • sebffischer (38)
  • dfalbel (20)
  • cregouby (8)
  • MaximilianPi (7)
  • egillax (6)
  • tdhock (4)
  • gavril0 (4)
  • AGPatriota (4)
  • edwardduanhao (3)
  • GitHubGeniusOverlord (3)
  • Athospd (3)
  • dkibalnikov (2)
  • Milardkh (2)
  • lawremi (2)
  • ralmond (2)
Pull Request Authors
  • dfalbel (131)
  • sebffischer (63)
  • dependabot[bot] (24)
  • cregouby (23)
  • skeydan (6)
  • shikokuchuo (4)
  • CoreyGiles (4)
  • johnnynunez (2)
  • Prateek0xeo (2)
  • ralmond (2)
  • OJWatson (2)
  • plato-12 (2)
  • cyrusmsk (2)
  • statist-bhfz (2)
  • MaximilianPi (2)
Top Labels
Issue Labels
bug (2) feature request (1) CI (1)
Pull Request Labels
lantern (38) dependencies (24) github_actions (13)

Packages

  • Total packages: 1
  • Total downloads:
    • cran 7,881 last-month
  • Total docker downloads: 20,558
  • Total dependent packages: 29
  • Total dependent repositories: 46
  • Total versions: 28
  • Total maintainers: 1
cran.r-project.org: torch

Tensors and Neural Networks with 'GPU' Acceleration

  • Versions: 28
  • Dependent Packages: 29
  • Dependent Repositories: 46
  • Downloads: 7,881 Last month
  • Docker Downloads: 20,558
Rankings
Stargazers count: 0.8%
Forks count: 1.0%
Dependent packages count: 2.6%
Dependent repos count: 3.7%
Average: 6.4%
Downloads: 6.4%
Docker downloads count: 23.5%
Maintainers (1)
daniel@rstudio.com
Last synced: 6 months ago

Dependencies

DESCRIPTION cran
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tools/torchgen/DESCRIPTION cran
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