GitHub

SwinTransformer as encoder and Bart as decoder

I wanted to use an encoder decoder model with SwinTransformer as an encoder and bart-large as a decoder. I used VisionEncoderDecoderModel.from_encoder_decoder ...
GitHub

EntrepotLab/Encoder-Decoder-Paper

The Decoder_Encoder_Model contains codes for building a neural encoder-decoder framework, which estimates the underlying cogntive state using behavioral readout and neural features. Start with ...
Analytics India Magazine

Using Encoder-Decoder LSTM in Univariate Horizon Style for Time Series Modelling

In machine learning, we have seen various kinds of neural networks and encoder-decoder models are also a type of neural network in which recurrent neural networks are used to make the prediction on ...
inc42

What Is Encoder-Decoder Architecture? Here’s All You Need to Know

What Is An Encoder-Decoder Architecture? An encoder-decoder architecture is a powerful tool used in machine learning, specifically for tasks involving sequences like text or speech. It’s like a ...
IEEE

Efficient Decoder Reduction for a Variety of Encoder-Decoder Problems

Abstract: Encoder-decoder networks have become the standard solution for a variety of segmentation tasks. Many of these approaches use a symmetrical design where both the encoder as well as the ...
IEEE

A Dual Encoder–Decoder Network for Self-Supervised Monocular Depth Estimation

Abstract: Depth estimation from a single image is a fundamental problem in the field of computer vision. With the great success of deep learning techniques, various self-supervised monocular depth ...
Design-Reuse

DVB-RCS2 Turbo Decoder and Encoder IP Core Available For Integration From Global IP Core

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 ...