Abstract: The rapid advancement of Software-Defined Networks (SDN) and Network Function Virtualization (NFV) has popularized the adoption of the Service Function Chain (SFC) paradigm for efficient ...
A difficulty-graded mouse brain dataset pairs 3D microscopy images with verified neuron reconstructions to support AI-driven ...
STM-Graph is a Python framework for analyzing spatial-temporal urban data and doing predictions using Graph Neural Networks. It provides a complete end-to-end pipeline from raw event data to trained ...
How-To Geek on MSN
These 7 Python libraries are useful even if you're not a developer
Every Python developer knows some or all of these libraries, because they’re stable, reliable, and excellent at what they do.
Hy 2 DL is a python library to create hydrological models for rainfall-runoff prediction using deep learning methods. The repository includes implementations with Large-Sample Hydrology datasets such ...
Abstract: Deep unfolding networks (DUNs), which offer strong interpretability, have gradually attracted increasing attention in seismic data reconstruction. Most existing DUN approaches are limited to ...
Eight-month live online programme by CEC, IIT Roorkee equips professionals to build applied expertise across Python, machine learning, deep learning, MLOps, LLMs and Generative AI, Education, Times No ...
Version 5.0 Modernizes DNN Engine, Adds LLM/VLM Support, and Enhances Core, Hardware Acceleration, and 3D Stack.
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