An Encoder-decoder architecture in machine learning efficiently translates one sequence data form to another.

The encoder extracts the meaning of the input, and the decoder constructs a coherent, context-aware output based on that understanding. T5 and MarianMT are prominent examples of encoder-decoder models ...

This repository contains the first collection of paired encoder-only and decoder-only models trained with identical data, architecture, and training recipes. Ettin enables fair comparisons between ...

Discover the key differences between Moshi and Whisper speech-to-text models. Speed, accuracy, and use cases explained for your next project.

Seq2Seq is essentially an abstract deion of a class of problems, rather than a specific model architecture, just as the ...

This work proposes an SNN-based encoder-decoder model to improve the recognition performance of AER objects. An STDP-based locally connected spiking neural network (LC-SNN) is proposed as an encoder ...

February 6, 2023 - Global IP Core Sales - The new DVB-RCS2 Turbo Encoder and Decoder IP Core is on the transmitter side, the turbo-phi encoder architecture is based on a parallel concatenation of two ...