attention-model 开源项目推荐（288 个）

JiahuiYu /generative_inpainting

DeepFill v1/v2 with Contextual Attention and Gated Convolution, CVPR 2018, and ICCV 2019 Oral

linto-ai /whisper-timestamped

Multilingual Automatic Speech Recognition with word-level timestamps and confidence

philipperemy /keras-attention

Keras Attention Layer (Luong and Bahdanau scores).

ozan-oktay /Attention-Gated-Networks

Use of Attention Gates in a Convolutional Neural Network / Medical Image Classification and Segmentation

pprp /awesome-attention-mechanism-in-cv

Awesome List of Attention Modules and Plug&Play Modules in Computer Vision

awslabs /sockeye

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

ai4co /rl4co

PyTorch库，用于组合优化（CO）的强化学习（RL）的所有内容

berniwal /swin-transformer-pytorch

Implementation of the Swin Transformer in PyTorch.

prakashpandey9 /Text-Classification-Pytorch

Text classification using deep learning models in Pytorch

lorenmt /mtan

The implementation of "End-to-End Multi-Task Learning with Attention" [CVPR 2019].

Ha0Tang /AttentionGAN

AttentionGAN for Unpaired Image-to-Image Translation & Multi-Domain Image-to-Image Translation

kyegomez /zeta

Build high-performance AI models with modular building blocks

DengPingFan /SINet

Camouflaged Object Detection, CVPR 2020 (Oral)

lvapeab /nmt-keras

Neural Machine Translation with Keras

kaushalshetty /Structured-Self-Attention

A Structured Self-attentive Sentence Embedding

daa233 /generative-inpainting-pytorch

A PyTorch reimplementation for paper Generative Image Inpainting with Contextual Attention (https://arxiv.org/abs/1801.07892)

A-bone1 /Attention-ocr-Chinese-Version

Attention OCR Based On Tensorflow

hkproj /transformer-from-scratch-notes

关于《注意力就是你所需要的》视频笔记（https://www.youtube.com/watch?v=bCz4OMemCcA）

chenjun2hao /Attention_ocr.pytorch

This repository implements the the encoder and decoder model with attention model for OCR

dabasajay /Image-Caption-Generator

A neural network to generate captions for an image using CNN and RNN with BEAM Search.