Learn how to implement the Nadam optimizer from scratch in Python. This tutorial walks you through the math behind Nadam, ...

Abstract: Automatic parameter tuning of parallel codes is ubiquitous in today's HPC environments where the performance portability of said codes is expected to keep pace with the perpetual release of ...

Stay in flow with Auto Claude using multi-terminal tools and session restore, so you run tests and pick up where you left off ...

Saurabh Misra work spans machine learning, large-scale systems, and software performance, with a consistent focus on building faster, more efficient, and more sustainable technology.

Abstract: In this study, an optimization model for offline scheduling policy of low-density parity-check (LDPC) codes is proposed to improve the decoding efficiency of the belief propagation (BP). The ...

Porcupy implements the Crested Porcupine Optimizer (CPO), a nature-inspired metaheuristic that mimics porcupine defense mechanisms for optimization. It offers both object-oriented and procedural ...