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15 search results found

Metaflow ⭐ 7,524

🚀 Build and manage real-life ML, AI, and data science projects with ease!

Drake ⭐ 1,329

An R-focused pipeline toolkit for reproducibility and high-performance computing

Targets ⭐ 860

Function-oriented Make-like declarative workflows for R

A Clojure dataframe library that runs on Spark

Accelerator ⭐ 150

The Accelerator is a tool for fast and reproducible processing of large amounts of data.

Tarchetypes ⭐ 108

Archetypes for targets and pipelines

Drake Examples ⭐ 58

Example workflows for the drake R package

The user manual for the drake R package

Plinycompute ⭐ 27

A system for development of high-performance, data-intensive, distributed computing, applications, tools, and libraries.

Biguq.jl ⭐ 17

Bayesian Information Gap Decision Theory

User manual of the targets R pacakge

Targetsketch ⭐ 15

Sketch a pipeline of targets in an interactive web app

Mandrake ⭐ 11

📖🐉- Bring reading the manual 📖 closer to your drake 🐉 workflow 🔥

HAPOD - Hierarchical Approximate Proper Orthogonal Decomposition

Gpu Cuda Self Organising Maps ⭐ 7

🧠 💡 📈 A project based in High Performance Computing. This project was built using CUDA (Compute Unified Device Architecture), C++ (C Plus Plus), C, CMake and JetBrains CLion. The scenario of the project was a GPU-based implementation of the Self-Organising-Maps (S.O.M.) algorithm for Artificial Neural Networks (A.N.N.), with the support of CUDA (Compute Unified Device Architecture), using its offered parallel optimisations and tunings. The final goal of the project was to test the several GPU

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