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@DLR-KI

DLR Institute of AI Safety and Security

German Aerospace Center (DLR) - Intitute for AI Safety and Security

Libraries

Repository Actions Documentation Description
SCAN SCAN (Software for Complex system Analysis via Networks): A python package implementing the machine learning technique Reservoir Computing and related methods.
pyCASX Python tests (pytest) 🔗 Implementation of ACAS XA and ACAS XU with neural networks for FlightGear.
SafetyNet pre-commit.ci status Contains the JSON schema for the different components of the SafetyNet standard.

PoC: Federated Learning Demonstrator

Repository Actions Pages Registry Description
fl-documentation main workflow 🔗 Official documentation of the Federated Learning platform
fl-demonstrator main workflow 🔗 🔗 A set of tools for demonstrating machine learning in a federated environment
fl-demonstrator-frontend main workflow 🔗 🔗 A frontend for the federated learning demonstrator
fl-demonstrator-mnist main workflow 🔗 🔗 MNIST example client of the federated learning platform
fl-demonstrator-client main workflow 🔗 🔗 A small client base package including client server communication helpers
fl-logging-base main workflow 🔗 Package to simplify the process of enabling consistent logging across multiple projects

Popular repositories Loading

  1. scan scan Public

    Python 3 1

  2. fl-demonstrator fl-demonstrator Public

    A set of tools for demonstrating machine learning in a federated environment

    Python 2

  3. fl-demonstrator-frontend fl-demonstrator-frontend Public

    A frontend for the federated learning demonstrator

    TypeScript 2 1

  4. fl-logging-base fl-logging-base Public

    Package to simplify the process of enabling consistent logging across multiple projects

    Shell 1

  5. fl-demonstrator-client fl-demonstrator-client Public

    A small client base package including client server communication helpers

    Python 1

  6. fl-demonstrator-mnist fl-demonstrator-mnist Public

    MNIST example client of the federated learning platform

    Shell 1

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