Abstract: sQUlearn introduces a user-friendly, noisy intermediate-scale quantum (NISQ)-ready Python library for quantum machine learning (QML), designed for seamless integration with classical machine ...
Secure credential storage with AES-256 encryption Connection testing and validation Environment tagging (Dev, QA, UAT, Production) Connection pooling configuration ⚠️ Security Notice: This application ...
Since there are so many CAN interfaces available, this library doesn't have a built-in CAN driver but provides a simple method to connect it to your CAN library of choice. This is sometimes called MIT ...
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