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easybuild

EasyBuild - building software with ease

easybuild-easyblocks

Collection of easyblocks that implement support for building and installing software with EasyBuild.

easybuild-easyconfigs

A collection of easyconfig files that describe which software to build using which build options with EasyBuild.

easybuild-framework

EasyBuild is a software installation framework in Python that allows you to install software in a structured and robust way.

filesystem

Boost.org filesystem module

fmt_cpp_output

Format C++-Compiler output making templates readable

format

Boost.org format module

gha_tests

github-release

Manage github releases from the command line

googletest

Googletest - Google Testing and Mocking Framework

grpc

The C based gRPC (C++, Python, Ruby, Objective-C, PHP, C#)

horovod

Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.

idrenamer-addin

Renaming of Identifiers in Visual Studio C# Projects

importsmalivarnames

Eclipse plugin for importing parameter names from smali source files

interval

Boost.org numeric interval library

iostreams

Boost.org iostreams module

kaguya

C++ binding to Lua

kineto

A CPU+GPU Profiling library that provides access to timeline traces and hardware performance counters.

libadlmidi

A Software MIDI Synthesizer library with OPL3 (YMF262) emulator

libsamplerate

libsiedler2

Settlers II File Format Reader/Writer Library for s25client

libsplash

libSplash - Simple Parallel file output Library for Accumulating Simulation data using Hdf5

libunwind

libunwind official github repo

libzippp

C++ wrapper for libzip

liquidsvm

Support vector machines (SVMs) and related kernel-based learning algorithms are a well-known class of machine learning algorithms, for non-parametric classification and regression. liquidSVM is an implementation of SVMs whose key features are: fully integrated hyper-parameter selection, extreme speed on both small and large data sets, full flexibility for experts, and inclusion of a variety of different learning scenarios: multi-class classification, ROC, and Neyman-Pearson learning, and least-squares, quantile, and expectile regression.

llvm-project

The LLVM Project is a collection of modular and reusable compiler and toolchain technologies. Note: the repository does not accept github pull requests at this moment. Please submit your patches at http://reviews.llvm.org.

lmod

Lmod: An Environment Module System based on Lua, Reads TCL Modules, Supports a Software Hierarchy

locale

logic

Boost.org logic module

mallocmc

mallocMC: Memory Allocator for Many Core Architectures