fastVEP: High-performance Variant Effect Predictor in Rust

AI agents running research on single-GPU nanochat training automatically

AI agents running research on single-GPU nanochat training automatically adopted for MacOS

👻 Ghostty is a fast, feature-rich, and cross-platform terminal emulator that uses platform-native UI and GPU acceleration.

A concise, beginner-friendly introduction to the core ideas of linear algebra.

A DSL for data-driven computational pipelines

Open-source, local-first apps.

Implement a ChatGPT-like LLM in PyTorch from scratch, step by step

Copy number variant detection from targeted DNA sequencing

Pangolin is a deep-learning method for predicting splice site strengths.

GPT4All: Run Local LLMs on Any Device. Open-source and available for commercial use.

Modernity meets insane extensibility. The future of organizing your life in Neovim.

The Universal Storage Engine

Lightning fast data version control system for large repositories of data. Feels like git, pushes and pulls like oxen.

D2 is a modern diagram scripting language that turns text to diagrams.

The fastai book, published as Jupyter Notebooks

⚙️ Supercharge your shortcuts

Structural variant toolkit for VCFs

This library provides implementations of many algorithms and data structures that are useful for bioinformatics. All provided implementations are rigorously tested via continuous integration.

UniFi Common - on_boot.d

Invidious is an alternative front-end to YouTube

Private front-end for Reddit

These confs are pulled into our SWAG image: https://github.com/linuxserver/docker-swag

RNA sequencing analysis pipeline using STAR, RSEM, HISAT2 or Salmon with gene/isoform counts and extensive quality control.

ATAC-seq peak-calling and QC analysis pipeline

R package for analyzing and interactively exploring large-scale single-cell RNA-seq datasets

VS Code in the browser

A repository of definition files for bootstrapping Singularity containers around the software applications, frameworks, and libraries you need to run on high-performance computing systems.

Run singularity containers on the Comet Supercomputer at San Diego Supercomputer Center

High-throughput gene to knowledge mapping through massive integration of public sequencing data.