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machine-learning-framework

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aws-samples / twingraph

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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.

docker kubernetes aws lambda hpc containers orchestration-framework batch high-performance-computing cloud-computing simulations high-throughput-computing mlops eks machine-learning-framework digital-twins
  • Updated Aug 9, 2024
  • Python

arasgungore / awesome-machine-learning

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A curated list of awesome Machine Learning frameworks, libraries and software.

machine-learning awesome deep-learning machine-learning-algorithms deep-learning-algorithms awesome-list machine-learning-library deep-learning-library machinelearning deeplearning awesome-lists deep-learning-framework machine-learning-projects machinelearningprojects awesome-readme awesome-machine-learning machine-learning-framework awesome-deep-learning deep-learning-projects machine-learning-libs
  • Updated Feb 23, 2024
  • Python

redx94 / Dynamic-Neural-Network-Refinement

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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.

machine-learning deep-learning artificial-intelligence neural-networks intelligent-systems performance-optimization adaptive-systems machine-learning-framework data-driven-ai customizable-ai real-time-optimization ai-scalability on-the-fly-refinement network-parameter-tuning versatile-ai-solutions advanced-neural-architectures dynamic-learning-models ai-research-and-development
  • Updated Jun 9, 2025
  • Python

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