Abstract: The belief propagation (BP) algorithm is a widely adopted iterative decoding method for Luby transform (LT) codes. However, the conventional log-likelihood ratio BP (LLR-BP) decoder exhibits ...
Deep Learning with Yacine on MSN
Nadam optimizer explained: Python tutorial for beginners & pros
Learn how to implement the Nadam optimizer from scratch in Python. This tutorial walks you through the math behind Nadam, ...
AgentRun is a Python library that makes it easy to run Python code safely from large language models (LLMs) with a single line of code. Built on top of the Docker Python SDK and RestrictedPython, it ...
Abstract: The gradient descent bit-flipping with momentum (GDBF-w/M) and probabilistic GDBF-w/M (PGDBF-w/M) algorithms significantly improve the decoding performance of the bit-flipping (BF) algorithm ...
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Secrets codes used in the hospital
Russian forces near collapse in Kupyansk as Moscow allies concede city lost: Report America’s biggest oil field is turning into a pressure cooker Florida homebuyers getting cold feet? Many more are ...
Vector Post-Training Quantization (VPTQ) is a novel Post-Training Quantization method that leverages Vector Quantization to high accuracy on LLMs at an extremely low bit-width (<2-bit). VPTQ can ...
When scientists test algorithms that sort or classify data, they often turn to a trusted tool called Normalized Mutual Information (or NMI) to measure how well an algorithm’s output matches reality.
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