Popular GitHub Repositories for Decoder

A neural network that transforms a design mock-up into a static website.

Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.

Show, Attend, and Tell | a PyTorch Tutorial to Image Captioning

End-to-end Automatic Speech Recognition for Madarian and English in Tensorflow

Semantic Segmentation Suite in TensorFlow. Implement, train, and test new Semantic Segmentation models easily!

High Quality Monocular Depth Estimation via Transfer Learning

a fast and user-friendly runtime for transformer inference (Bert, Albert, GPT2, Decoders, etc) on CPU and GPU.

:robot: PaddleViT: State-of-the-art Visual Transformer and MLP Models for PaddlePaddle 2.0+

Sequence-to-sequence framework with a focus on Neural Machine Translation based on PyTorch

[ICCV 2021- Oral] Official PyTorch implementation for Generic Attention-model Explainability for Interpreting Bi-Modal and Encoder-Decoder Transformers, a novel method to visualize any Transformer-based network. Including examples for DETR, VQA.

PyTorch CTC Decoder bindings

This repository contains my full work and notes on Coursera's NLP Specialization (Natural Language Processing) taught by the instructor Younes Bensouda Mourri and ?ukasz Kaiser offered by deeplearning.ai

Tensorflow seq2seq Implementation of Text Summarization.

The fastest JavaScript BPE Tokenizer Encoder Decoder for OpenAI's GPT-2 / GPT-3 / GPT-4 / GPT-4o / GPT-o1. Port of OpenAI's tiktoken with additional features.

BERT for Multitask Learning

Multiple implementations for abstractive text summurization , using google colab

Code for our paper "Multi-scale Guided Attention for Medical Image Segmentation"

ConvLSTM/ConvGRU (Encoder-Decoder) with PyTorch on Moving-MNIST

An open-source tool for sequence learning in NLP built on TensorFlow.

Abstractive summarisation using Bert as encoder and Transformer Decoder