Mu Language Model is a Small Language Model (SLM) from Microsoft that acts as an AI Agent for Windows Settings. Read this ...

This repository contains the implementation of a machine translation model using Encoder-Decoder architecture with Long Short-Term Memory (LSTM) cells. The model is designed to translate text from one ...

Encoder-Decoder model on Chainer. chainer python3 encoder-decoder-model. Updated Jun 1, 2017; Python; Js-Mim / mlsp2017_svsep_skipfilt. Star 13. Code Issues Pull requests Support ...

In this article, we are going to see how we can remove noise from the image data using an encoder-decoder model. We will go through two approaches of denoising with encoder-decoder, one with dense ...

Text generation is crucial for many applications in natural language processing. With the prevalence of deep learning, the encoder-decoder architecture is dominantly adopted for this task. Accurately ...

Additionally, we propose a new code completion model that leverages RWKV. The model utilizes an encoder-decoder framework to optimize the use of temporal and structural aspects of the code. It learns ...

In this paper, we propose an encoder-decoder model which embeds the interaction between entities and relations, and adds a gate mechanism to control the attention mechanism. Experimental results show ...