The official repository for ROOT: analyzing, storing and visualizing big data, scientifically
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Updated
Jun 2, 2024 - C++
The official repository for ROOT: analyzing, storing and visualizing big data, scientifically
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.
WebGPU implementation for the radix sort algorithm as described in the paper "Fast 4-way parallel radix sorting on GPUs"
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.
Split Cypress specs across parallel CI machines for speed
Python bindings and scikit-learn interface for the Operon library for symbolic regression.
Run operations on a graph, maximizing parallelism
The MaPLe compiler for efficient and scalable parallel functional programming
Vishnu: Monitoring- und Prozesssteuerung mit integrierter Verarbeitung erweiterter logischer Ausdrücke.
StepUp RepRep is the StepUp extension for Reproducible Reporting
Multiphysics Object Oriented Simulation Environment
Really High Efficient File Optimizer will losslessly recompress files as much as possible according to their mime-types
Repository for Moltres, a code for simulating Molten Salt Reactors
Performance-portable geometric search library
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