Cross-platform, customizable ML solutions for live and streaming media.
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Updated
Jun 4, 2024 - C++
Cross-platform, customizable ML solutions for live and streaming media.
Lightweight function pipeline (DAG) creation in pure Python for scientific workflows 🕸️🧪
A DSL for data-driven computational pipelines
Extensible full DAG streaming computation server with services and jobs for RNA-Seq, Tn-Seq, WG-Seq and Term-Seq.
Write your pipelines in C# !
A set of processes/pipelines for bioinformatics
boost data pipeline's tangibility, enhance research productivity, reduce work anxiety
A .NET Standard library that can be used to create two-directional pipeline blocks.
Gokart solves reproducibility, task dependencies, constraints of good code, and ease of use for Machine Learning Pipeline.
BatchFlow helps you conveniently work with random or sequential batches of your data and define data processing and machine learning workflows even for datasets that do not fit into memory.
COMP Superscalar (COMPSs) is a framework which aims to ease the development and execution of applications for distributed infrastructures, such as Clusters, Grids and Clouds.
An open-source computer vision framework to build and deploy apps in minutes
Framework of fast implementation data processing and operating pipelines
Machine is a workflow/pipeline library for processing data
A pipeline framework for python
OWASP Secure Pipeline Verification Standard
The ORAC-DR astronomy data reduction pipeline
Relational data pipelines for the science lab
GitHub Pages site for tanagra.dev
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