A hyperparameter optimization framework
-
Updated
May 20, 2024 - Python
A hyperparameter optimization framework
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
A parallel Bible texts comparison PDF generator.
The official repository for ROOT: analyzing, storing and visualizing big data, scientifically
Robust and efficient library for management of asynchronous operations in C#/.Net.
numerical optimization in pytorch
Neural Networks with Sparse Weights in Rust using GPUs, CPUs, and FPGAs via CUDA, OpenCL, and oneAPI
Multiphysics Object Oriented Simulation Environment
TUI framework and developer productivity apps in Rust 🦀
Fast parallel random access to bzip2 and gzip files in Python
Reliable PostgreSQL Backup & Restore
🐷 Poku makes testing easy for Node.js, Bun & Deno at the same time.
StepUp RepRep is the StepUp extension for Reproducible Reporting
SST Structural Simulation Toolkit Parallel Discrete Event Core and Services
A bleeding-edge, lock-free, wait-free, continuation-stealing tasking library built on C++20's coroutines
A simple, powerful and universal build tool
ForCAD - A parallel Fortran library for geometric modeling using NURBS
Add a description, image, and links to the parallel topic page so that developers can more easily learn about it.
To associate your repository with the parallel topic, visit your repo's landing page and select "manage topics."