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The most atomic way to train and run inference for a GPT in 100 lines of pure, dependency-free Julia.
Single Rust: Pioneering single-cell analysis with Rust's concurrency for scalable, high-throughput pipelines. 🧬🚀
Robust and efficient analysis of single-cell perturbation studies
scDataset: Scalable Data Loading for Deep Learning on Large-Scale Single-Cell Omics
Conversion of R objects to Julia objects and vice-versa
Functions for performing Knockoff-based conditional differential gene expression (CDGE) analysis to identify direct effect genes. Here, we implement the CDGE analysis via the recently developed Gho…
CLI app for compiling and bundling julia binaries, especially trimmed ones
Genome modeling and design across all domains of life
A Julia package for hierarchically semiseparable (HSS) matrices.
A Julia library for hierarchical matrices
Python package to perform the statistical sweep operation on symmetric numpy matrices
A repo of short "vignettes" illustrating statistical concepts
STRUCT is a statistical tool that predicts RNA secondary structure bypassing multiple sequence alignment.
TextGrad: Automatic ''Differentiation'' via Text -- using large language models to backpropagate textual gradients. Published in Nature.
Julia bindings for the Enzyme automatic differentiator
A fast and flexible Python package for efficiently solving lasso, elastic net, group lasso, and group elastic net problems.
An interface to various automatic differentiation backends in Julia.
OUTRIDER: OUTlier in RNA-seq fInDER is an R-based framework to find aberrantly expressed genes in RNA-seq data