r-cran-usethis

Automate Package and Project Setup

Automate package and project setup tasks that are otherwise performed manually. This includes setting up unit testing, test coverage, continuous integration, Git, 'GitHub', licenses, 'Rcpp', 'RStudio' projects, and more.

ruby-toml

TOML Parser library for Ruby

TOML aims to be a minimal configuration file format that's easy to read due to obvious semantics. TOML is designed to map unambiguously to a hash table. TOML should be easy to parse into data structures in a wide variety of languages.

hscolour

Haskell program to colourise Haskell code

HsColour currently has five output formats: ANSI terminal codes, HTML 3.2 with <font> tags, HTML 4.01 with CSS, LaTeX, and mIRC chat client codes.

lemonldap-ng-uwsgi-app

Lemonldap::NG uWSGI server

Lemonldap::NG is a complete Web-SSO system that can run with reverse-proxies or directly on application webservers. It can be used in conjunction with OpenID-Connect, CAS and SAML systems as identity or service provider. It can also be used as proxy between those federation systems.

hinge

long read genome assembler based on hinging

HINGE is a genome assembler that seeks to achieve optimal repeat resolution by distinguishing repeats that can be resolved given the data from those that cannot. This is accomplished by adding “hinges” to reads for constructing an overlap graph where only unresolvable repeats are merged. As a result, HINGE combines the error resilience of overlap-based assemblers with repeat-resolution capabilities of de Bruijn graph assemblers.

libxnnpack0

High-efficiency floating-point neural network inference operators (libs)

XNNPACK is a highly optimized library of floating-point neural network inference operators for ARM, WebAssembly, and x86 platforms. XNNPACK is not intended for direct use by deep learning practitioners and researchers; instead it provides low-level performance primitives for accelerating high-level machine learning frameworks, such as TensorFlow Lite, TensorFlow.js, PyTorch, and MediaPipe.