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태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

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보존된 평가 기록

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코드

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

https://github.com/google-research-datasets/paws

PAWS: Paraphrase Adversaries from Word Scrambling

https://github.com/google-research/bigbird

Leveraging Pre-trained Checkpoints for Sequence Generation Tasks

https://github.com/google-research/byt5

mT5: A massively multilingual pre-trained text-to-text transformer

https://github.com/google-research/electra

Masked Language Model Scoring

https://github.com/google-research/google-research/tree/master/enas_lm

Regularizing and Optimizing LSTM Language Models

https://github.com/google-research/language

Consistency by Agreement in Zero-shot Neural Machine Translation

https://github.com/google/edward2

Bayesian Layers: A Module for Neural Network Uncertainty

https://github.com/google/flax/tree/master/examples/wmt

Attention Is All You Need

https://github.com/googleinterns/protein-embedding-retrieval

Contextual Lensing of Universal Sentence Representations

https://github.com/gooofy/zbrain

Attention Is All You Need

https://github.com/gooppe/transformer-summarization

Attention Is All You Need

https://github.com/gordicaleksa/pytorch-original-transformer

Attention Is All You Need

https://github.com/gordinirojo/deinterlace

Real-time Deep Video Deinterlacing

https://github.com/gotutiyan/gec-metrics

BERTScore: Evaluating Text Generation with BERT

https://github.com/grammatek/iceprondict

Language Technology Programme for Icelandic 2019-2023

https://github.com/graykode/gpt-2-Pytorch

Attention Is All You Need

https://github.com/graykode/nlp-tutorial

Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation

https://github.com/gretelai/gretel-synthetics

Subword Regularization: Improving Neural Network Translation Models with Multiple Subword Candidates

https://github.com/grtzsohalf/Audio-Phonetic-and-Semantic-Embedding

Non-Adversarial Unsupervised Word Translation

https://github.com/gshashank84/CheXNet

Learning to diagnose from scratch by exploiting dependencies among labels

https://github.com/gtegner/hyper-gan

HyperNetworks

https://github.com/guanfuchen/Deformable-ConvNets

R-FCN: Object Detection via Region-based Fully Convolutional Networks

https://github.com/guijinSON/MM-Eval

M-RewardBench: Evaluating Reward Models in Multilingual Settings

https://github.com/guillaume-chevalier/HAR-stacked-residual-bidir-LSTMs

Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation

https://github.com/guillaume-chevalier/LSTM-Human-Activity-Recognition

Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation

https://github.com/guillaume-chevalier/Linear-Attention-Recurrent-Neural-Network

Attention Is All You Need

https://github.com/gulshanBakle/Neural-Image-Caption-generator

Show and Tell: A Neural Image Caption Generator

https://github.com/gulvarol/bsldict

Sign Language Recognition, Generation, and Translation: An Interdisciplinary Perspective

https://github.com/gunpowder1473/CycleGan_Tensorflow

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

https://github.com/gunpowder1473/CycyleGan_Tensorflow

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

https://github.com/guoyaohua/BERT-Chinese-Annotation

Attention Is All You Need

https://github.com/guptakhil12/show-tell

Show and Tell: A Neural Image Caption Generator

https://github.com/guxm2021/MM_ALT

fairseq: A Fast, Extensible Toolkit for Sequence Modeling

https://github.com/guy-oren/DIRT-OST

Diverse Image-to-Image Translation via Disentangled Representations

https://github.com/guy-oren/OneShotTranslationExt

One-Shot Unsupervised Cross Domain Translation

https://github.com/guzhang480/Google_BERT

Attention Is All You Need

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.