Analytics India Magazine

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

The time-series data is a type of sequential data and encoder-decoder models are very good with the sequential data and the reason behind this capability is the LSTM or RNN layer in the network.
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

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 ...
IEEE

Dual Encoder–Decoder Shifted Window-Based Transformer Network for Polyp Segmentation With Self-Learning Approach

Abstract: According to WHO reports, cancer is the leading cause of death worldwide. The second most prevalent cause of cancer-related death in both men and women is colorectal cancer (CRC). One ...
GitHub

Swift BPE Encoder/Decoder for OpenAI GPT Models. A programmatic interface for tokenizing text for OpenAI GPT API.

The GPT family of models process text using tokens, which are common sequences of characters found in text. The models understand the statistical relationships between these tokens, and excel at ...
GitHub

modeling_encoder_decoder.py

# you may not use this file except in compliance with the License. # You may obtain a copy of the License at # http://www.apache.org/licenses/LICENSE-2.0 "Version v4 ...
NHK

8K 120-Hz Video Real-Time Encoder and Decoder

In this paper, we introduce the world’s first 8K 120-Hz video real-time encoder and decoder that complies with ARIB STD-B32 1) . We evaluated the coding efficiency and demonstrated that 8K 120-Hz ...