This notebook explains how to implement doc2vec using PyTorch. It's aimed at relative beginners, but basic understanding of word embeddings (vectors) and PyTorch are assumed. The implementation we end ...

This guide is designed to help pytorch and onnx users use the new-generation model conversion tool, pnnx, to efficiently and reliably convert models to the ncnn format for high-performance inference ...

Abstract: While early AutoML frameworks focused on optimizing traditional ML pipelines and their hyperparameters, a recent trend in AutoML is to focus on neural architecture search. In this paper, we ...