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The Data Transfer Project makes it easy for platforms to build interoperable user data portability features. We are establishing a common framework, including data models and protocols, to enable direct transfer of data both into and out of participating online service providers.
Singularity has been renamed to Apptainer as part of us moving the project to the Linux Foundation. This repo has been persisted as a snapshot right before the changes.
📗 How to write cross-platform Node.js code
Collective Knowledge (CK), Collective Mind (CM/CMX) and MLPerf automations: community-driven projects to facilitate collaborative and reproducible research and to learn how to run AI, ML, and other emerging workloads more efficiently and cost-effectively across diverse models, datasets, software, and hardware using MLPerf methodology and benchmarks
libc targeted for embedded systems usage. Reduced set of functionality (due to embedded nature). Chosen for portability and quick bringup.
RAJA Performance Portability Layer (C++)
🔓✨🔒 An innovative, convenient and secure encryption app
A common framework enabling companies to work together to protect consumers' privacy and data rights.
An application-focused API for memory management on NUMA & GPU architectures
At last, a user-friendly Wine graphical interface (mirror from Gitlab)
Embedded systems memory management library. Implementations for malloc(), free(), and other useful memory management functions
All the characters that work on most terminals
Copy-hiding array abstraction to automatically migrate data between memory spaces
ForML - A development framework and MLOps platform for the lifecycle management of data science projects
A mirror of the GNU Autoconf Archive, a collection of more than 500 macros for GNU Autoconf that have been contributed as free software by friendly supporters of the cause from all over the Internet.
A collaborative effort to consolidate expert knowledge on code guidelines for the correctness, modernization, security, portability, and optimization of code written in Fortran, C, and C++ programming languages
Fast, reproducible, and portable software development environments
Scripts for building compilers that run anywhere, which build things that run anywhere