This research project at the University of Electro-Communications, Tokyo, uses Scikit-learn and Numpy to measure the Learning Parity with Noise problem's hardness. It offers efficient classifiers, concurrency support, testing with pytest, and advanced utilities for efficient development and debugging.
computer-science
benchmarking
cryptography
computer-security
lpn
computer-science-project
cryptographic-computing
learning-parity-with-noise
lpn-problem
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Updated
Jul 25, 2023 - Python