FlashRAG is a Python toolkit for the reproduction and development of Retrieval Augmented Generation (RAG) research. Our toolkit includes 36 pre-processed benchmark RAG datasets and 23 state-of-the-art ...
Abstract: In this article, a method based on backpropagation (BP) neural network is proposed to adjust the output current waveform by adjusting the excitation current pre-charge time online. The ...
This repository contains the source material, code, and data for the book, Computational Methods for Economists using Python, by Richard W. Evans (2023). This book is freely available online as an ...
Abstract: The new bidirectional backpropagation algorithm helps blocking networks learn and recall large numbers of image patterns. Bidirectional backpropagation exploits backward-pass learning that ...
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