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.
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Updated
May 10, 2024 - Python
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.
Fast command line app in rust/tokio to run commands in parallel. Similar interface to GNU parallel or xargs plus useful features. Listed in Awesome Rust utilities.
Multiphysics Object Oriented Simulation Environment
parallel finite element unstructured meshes
TUI framework and developer productivity apps in Rust 🦀
A bleeding-edge, lock-free, wait-free, continuation-stealing tasking library built on C++20's coroutines
Linear optimization software
The PennyLane-Lightning plugin provides a fast state-vector simulator written in C++ for use with PennyLane
The official repository for ROOT: analyzing, storing and visualizing big data, scientifically
Pipe nodejs streams into an async.queue for parallelisation, get backpressure when the queue is full.
A multi-cloud framework for big data analytics and embarrassingly parallel jobs, that provides an universal API for building parallel applications in the cloud ☁️🚀
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.
A hyperparameter optimization framework
Split Cypress specs across parallel CI machines for speed
Parallel algorithms and data structures for tree-based AMR with arbitrary element shapes.
The versatile ocean simulator, in pure Python, powered by JAX.
🏃⛰ Ultra fast monorepo script runner and build tool
Darwinism High performance computing toolkit for VisualBasic.NET on unix .net 6
A framework developed in Go that manages the execution of workflows described by directed acyclic graphs.
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