https://www.semanticscholar.org/paper/kendallknight%3A-An-R-Package-for-Efficient-of-Sep%27ulveda/e2e09971d82bf1c4f69fbef780cf45e212c9ceab
#r
#r
www.semanticscholar.org
[PDF] kendallknight: An R Package for Efficient Implementation of Kendall's Correlation Coefficient Computation | Semantic Scholar
The kendallknight package introduces an efficient implementation of Kendall's correlation coefficient computation, significantly improving the processing time for large datasets without sacrificing accuracy. The kendallknight package, following Knight (1966)…
doing something
https://github.com/iree-org/iree #ai #optimization
they have a yt channel where some videos present more info about the project
https://www.youtube.com/@iree4356
https://www.youtube.com/@iree4356
YouTube
IREE
IREE is an MLIR-based Machine Learning deployment framework from embedded to distributed model execution.
Parallel unzipper from Google
https://github.com/google/ripunzip
Interesting to see a bench with ouch
https://github.com/google/ripunzip
Interesting to see a bench with ouch
GitHub
GitHub - google/ripunzip
Contribute to google/ripunzip development by creating an account on GitHub.
doing something
Parallel unzipper from Google https://github.com/google/ripunzip Interesting to see a bench with ouch
# test file: batch_1.zip - 715M
RAYON_NUM_THREADS=25 ./hyperfine --runs 10 './ripunzip unzip-file --output-directory ripunzip-files batch_1.zip'
Benchmark 1: ./ripunzip unzip-file --output-directory ripunzip-files batch_1.zip
Time (mean ± σ): 745.1 ms ± 40.3 ms [User: 5772.3 ms, System: 3017.6 ms]
Range (min … max): 688.1 ms … 809.7 ms 10 runs
ouch does not parallel unzipping, unfortunately
doing something
StreamReader in torchaudio using ffmpeg #ai #cv
you need this to convert to rgb if you use CUDA decoding