No more waiting on slow-loading modules or wasting time on ad hoc workarounds: Python 3.15’s new ‘lazy imports’ mechanism has ...
Hidet is an open-source deep learning compiler, written in Python. It supports end-to-end compilation of DNN models from PyTorch and ONNX to efficient cuda kernels. A series of graph-level and ...
Helpful installation and setup instructions can be found in the README.md file of Chapter 1. In addition, Zbynek Bazanowski contributed this helpful guide explaining how to run the code examples on ...
Abstract: We propose a new graph neural network (GNN) module, based on relaxations of recently proposed geometric scattering transforms, which consist of a cascade of graph wavelet filters. Our ...
Abstract: In this paper, we propose a novel AI-based Maximum Power Point Tracking (MPPT) system for solar PV modules, leveraging a hybrid Transformer + LightGBM model. The system addresses the ...
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