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태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

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평가표

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보존된 평가 기록

5

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/martiansideofthemoon/style-transfer-paraphrase

Multiple-Attribute Text Style Transfer

https://github.com/martin-gorner/tensorflow-rnn-shakespeare

Recurrent Neural Network Regularization

https://github.com/martincss/first-captioning

Show, Attend and Tell: Neural Image Caption Generation with Visual Attention

https://github.com/martinsbruveris/tensorflow-image-models

ResMLP: Feedforward networks for image classification with data-efficient training

https://github.com/masakhane-io/masakhane

Masakhane -- Machine Translation For Africa

https://github.com/mastanimahdi/pix2pix

Image-to-Image Translation with Conditional Adversarial Networks

https://github.com/matakshay/Neural_Image_Caption_Generator

Show and Tell: A Neural Image Caption Generator

https://github.com/matanatz/pcnn

Point Convolutional Neural Networks by Extension Operators

https://github.com/matlab-deep-learning/pix2pix

Image-to-Image Translation with Conditional Adversarial Networks

https://github.com/matteodalessio/CycleGAN-android

Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks

https://github.com/maxjcohen/transformer

Attention Is All You Need

https://github.com/maxmatical/pytorch-projects

Spatial Transformer Networks

https://github.com/maxudong1993/mybert

Attention Is All You Need

https://github.com/maxwells-daemons/compositional-learning-experiments

Generalization without systematicity: On the compositional skills of sequence-to-sequence recurrent networks

https://github.com/maxy0524/image_captioning

Show, Attend and Tell: Neural Image Caption Generation with Visual Attention

https://github.com/mayoor/attention_network_experiments

Attention Is All You Need

https://github.com/mayurnewase/Quora-Bert

Attention Is All You Need

https://github.com/mayurnewase/Translation

Neural Machine Translation by Jointly Learning to Align and Translate

https://github.com/maz0318/nlpSummerCamp2019

Show and Tell: A Neural Image Caption Generator

https://github.com/mcao610/Factual-Error-Correction

BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension

https://github.com/mcaseyrehm/pix2pixColab

Image-to-Image Translation with Conditional Adversarial Networks

https://github.com/mdeff/cnn_graph

Spectral Networks and Locally Connected Networks on Graphs

https://github.com/mdrafiqulrabin/SIVAND

A Convolutional Attention Network for Extreme Summarization of Source Code

https://github.com/mdrafiqulrabin/tnpa-generalizability

A Convolutional Attention Network for Extreme Summarization of Source Code

https://github.com/mdsunivie/deeperwin

Solving the electronic Schrödinger equation for multiple nuclear geometries with weight-sharing deep neural networks

https://github.com/medicl-vu/crossmoda2023

QS-Attn: Query-Selected Attention for Contrastive Learning in I2I Translation

https://github.com/megvii-research/basecls/tree/main/zoo/public/resmlp

ResMLP: Feedforward networks for image classification with data-efficient training

https://github.com/mehdibenamorr/Token-Positional-Bias

Attention Is All You Need

https://github.com/mehdibenamorr/bert-positional-bias-ner

Attention Is All You Need

https://github.com/mehdibnc/Cycle-GAN

Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks

https://github.com/mehdidc/any2any

Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks

https://github.com/meizi1114/bert

Attention Is All You Need

https://github.com/mejanvijay/RNN-Transducer

Sequence Transduction with Recurrent Neural Networks

https://github.com/memray/OpenNMT-kpg-release

Convolutional Sequence to Sequence Learning

https://github.com/menajosep/AleatoricSent

Learned in Translation: Contextualized Word Vectors

https://github.com/mengdi-li/robotic-occlusion-reasoning

Recurrent Models of Visual Attention

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