Stars
8000 Neovim plugin to assist work with CSV files
Create movable and resizable grid layout in 'Shiny' application.
A cross-platform, OpenGL terminal emulator.
A neovim plugin to run lines/blocs of code (independently of the rest of the file), supporting multiples languages
Transmembrane proteins predicted through Language Model embeddings
Dataframes powered by a multithreaded, vectorized query engine, written in Rust
Plot structural variant signals from many BAMs and CRAMs
Keep code, data, containers under control with git and git-annex
A collection of Groovy classes that provide utility services to nextflow pipelines.
Cross platform clipboard | networkless! remote copy
Fast as FUCK nvim completion. SQLite, concurrent scheduler, hundreds of hours of optimization.
Modernity meets insane extensibility. The future of organizing your life in Neovim.
Community-curated list of software packages and data resources for single-cell, including RNA-seq, ATAC-seq, etc.
List of software packages for multi-omics analysis
Inference of couplings in proteins and RNAs from sequence variation
Fast solver for L1-type problems: Lasso, sparse Logisitic regression, Group Lasso, weighted Lasso, Multitask Lasso, etc.
Python programs, usually short, of considerable difficulty, to perfect particular skills.
scAR (single-cell Ambient Remover) is a deep learning model for removal of the ambient signals in droplet-based single cell omics
Scikit-learn compatible estimation of general graphical models
A graph-based functional API for building complex scikit-learn pipelines.
A musical instrument! How to make one, how to play one
A library of free open source icons for science illustrations in biology and chemistry
Listing of papers about machine learning for proteins.
Tasks Assessing Protein Embeddings (TAPE), a set of five biologically relevant semi-supervised learning tasks spread across different domains of protein biology.
Bayesian Multi-Trait Multi-Environment for genomic selection[R package] [Dev version]
[HELP REQUESTED] Generalized Additive Models in Python