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mike tooling around with configure ... examples for learns
R package implementing an ALTREP class for memory-mapped vectors.
Playing around "Less Slow" coding practices in C++ 20, C, CUDA, PTX, & Assembly, from numerics & SIMD to coroutines, ranges, exception handling, networking and user-space IO
Latent factor GWAS; Multi-trait fine-mapping for any number of uncorrelated traits (and limited number of correlated traits)
Stack and deque datatypes for R - fast and functional
Impute z-statistics for missing tests using observed z-statistics and the correlation matrix between z-statistics
Read genomic data files (VCF, BCF, BGEN, PGEN, BED, H5AD, DelayedArray) into R/Rcpp in chunks
Single header stackful cross-platform coroutine library in pure C.
Window based randomized singular value decomposition (winSVD)
Collection of simple C scripts for parsing vcf or bam files using the htslib C library. These scripts can be used as the starting point for more complex scripts
A NGS analysis framework for WGS data, which automates the entire process of spinning up AWS EC2 spot instances and processing FASTQ to snvVCF in <60m, for dollars a sample and achieving Fscores of…
memory efficient, fast & precise taxnomomic classification system for metagenomic read mapping
Course on deep learning in R, using torch and mlr3torch.
KErnel OPerationS, on CPUs and GPUs, with autodiff and without memory overflows