mizu is out: parallel R and Python at thread speed. A task round trip drops from ~100 µs over sockets to under 1 µs, and data frames cross between R and Python with zero copies. On CRAN and PyPI. opensource.posit.co/blog/2026-11... #rstats #python
@sebffischer.bsky.social
{garry}, a WIP raster engine for #rstats, has had a lot of updates lately. Data now passes from GDAL to XLA without copy. It's fast now. {gdalraster}, {anvl} and {mirai} is a stupid good spatial stack... hopefully nearing its final form 🤞 github.com/belian-earth...
GitHub - belian-earth/garry
Contribute to belian-earth/garry development by creating an account on GitHub.
github.com
One goal we (with @louisaslett.bsky.social) have with anvl (github.com/r-xla/anvl) is to develop a new way to do Bayesian Inference in R, including easy-to use GPU acceleration. There are many things to do, so if you are looking for an open source project to contribute, this is your chance! #rstats
GitHub - r-xla/anvl: Accelerated array computing and code transformations for R
Accelerated array computing and code transformations for R - r-xla/anvl
github.com
{anvl} is an #rstats game changer. Don't sleep on it!
@sebffischer.bsky.social · last mo.Yesterday, we released a new version of anvl: github.com/r-xla/anvl. You can use it to implement numerical algorithms in R and run it on CPU and GPU. The R Code is compiled, so you do not have interpreter overhead, and it also allows you to automatically compute gradients #rstats
Yesterday, we released a new version of anvl: github.com/r-xla/anvl. You can use it to implement numerical algorithms in R and run it on CPU and GPU. The R Code is compiled, so you do not have interpreter overhead, and it also allows you to automatically compute gradients #rstats
GitHub - r-xla/anvl: Accelerated array computing and code transformations for R
Accelerated array computing and code transformations for R - r-xla/anvl
github.com
Yesterday, we released a new version of anvl: github.com/r-xla/anvl. You can use it to implement numerical algorithms in R and run it on CPU and GPU. The R Code is compiled, so you do not have interpreter overhead, and it also allows you to automatically compute gradients #rstats
GitHub - r-xla/anvl: Accelerated array computing and code transformations for R
Accelerated array computing and code transformations for R - r-xla/anvl
github.com
Working on a new raster engine for #rstats, {garry}, powered by {gdalraster}, {anvl} and {mirai}. Still messy as hell but already the performance is pretty exciting. Only for the brave right now but ideas and opinions are still welcome! github.com/belian-earth... #rspatial #remotesensing
On the 27th from 6-7pm Berlin time, I will be giving a presentation about anvl, a new package for accelerated array computing in R at the Bioconductor developer forum. In case you are interested you can register here: us06web.zoom.us/meeting/regi... #rstats
Welcome! You are invited to join a meeting: August Developer Forum. After registering, you will receive a confirmation email about joining the meeting.
Sebastian Fischer presnting on {anvl} {anvl} is an array computing framework with support for code transformations (such as gradients), jit compilation, and execution on accelerators such as GPUs. Th...
us06web.zoom.us
A new package of the mlr3 family #mlr3inferr made it to CRAN. It allows to construct confidence intervals for the generalization error. You can check it out here: github.com/mlr-org/mlr3... #rstats.
GitHub - mlr-org/mlr3inferr: Statistical methods for inference on the generalization error
Statistical methods for inference on the generalization error - mlr-org/mlr3inferr
github.com