Skip to content
#

machine-learning-framework

Here are 17 public repositories matching this topic...

TwinGraph is a Python framework for distributed container orchestration using Kubernetes clusters, Docker Compose/Swarm or cloud resources on AWS (AWS Lambda, AWS Batch, Amazon EKS). Applications include high-throughput simulations, simulation-driven optimization, Digital Twins and machine learning.

  • Updated Aug 9, 2024
  • Python

This repository serves as a comprehensive showcase of my skills and expertise in data science, encompassing various projects and exercises completed throughout the bootcamp.

  • Updated Apr 28, 2024
  • Jupyter Notebook

Dynamic Neural Network Refinement (DNNR) is an advanced framework that allows neural networks to adapt in real time. Unlike static systems, DNNR refines network parameters on-the-fly to optimize performance. Its modularity ensures easy customization for versatile applications.

  • Updated Dec 23, 2024
  • Python

Improve this page

Add a description, image, and links to the machine-learning-framework topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the machine-learning-framework topic, visit your repo's landing page and select "manage topics."

Learn more