Automated design of neural networks with multi-scale convolutions via multi-path weight sampling
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Updated
Jun 17, 2025 - Python
Automated design of neural networks with multi-scale convolutions via multi-path weight sampling
Powerful CLI toolkit for IP networking calculations, subnet/supernet planning, and CIDR address management. Master IPv4 subnetting, VLSM/FLSM calculations, and route aggregation with ease. Simplifying complex network tasks for engineers, administrators, and students.
Code for "Iterative Monte Carlo Tree Search for Nerual Architecture Search"
(D)ecimals, b(in)aries and h(ex)adecimals. Easily convert between these values.
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