StepUp RepRep is the StepUp extension for Reproducible Reporting
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Updated
Jun 2, 2024 - Python
StepUp RepRep is the StepUp extension for Reproducible Reporting
A simple, powerful and universal build tool
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"
Vishnu: Monitoring- und Prozesssteuerung mit integrierter Verarbeitung erweiterter logischer Ausdrücke.
The official repository for ROOT: analyzing, storing and visualizing big data, scientifically
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
Multiphysics Object Oriented Simulation Environment
Really High Efficient File Optimizer will losslessly recompress files as much as possible according to their mime-types
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