Papers with Code 아카이브

Translation

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

전체 기법전체 데이터셋

하위 태스크

0

평가표

4

보존된 평가 기록

5

코드

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

https://github.com/bramiozo/PubScience

BVS Corpus: A Multilingual Parallel Corpus of Biomedical Scientific Texts

https://github.com/brandontrabucco/im2txt_express

Show and Tell: Lessons learned from the 2015 MSCOCO Image Captioning Challenge

https://github.com/brandontrabucco/im2txt_match

Show and Tell: Lessons learned from the 2015 MSCOCO Image Captioning Challenge

https://github.com/brandontrabucco/scaled_dot_product_attention

Attention Is All You Need

https://github.com/breadbread1984/SpatialTransformLayer-tf2.0

Spatial Transformer Networks

https://github.com/brightmart/bert_customized

Attention Is All You Need

https://github.com/brightmart/bert_original

Attention Is All You Need

https://github.com/brightmart/text_classification

Neural Machine Translation by Jointly Learning to Align and Translate

https://github.com/bryandlee/FreezeG

Few-shot Knowledge Transfer for Fine-grained Cartoon Face Generation

https://github.com/brynnchernosky/seq2seq

Keeping Notes: Conditional Natural Language Generation with a Scratchpad Mechanism

https://github.com/bshantam97/Attention_Based_Networks

Attention Is All You Need

https://github.com/btobab/R-Drop

R-Drop: Regularized Dropout for Neural Networks

https://github.com/burcgokden/PLDR-LLM-with-KVG-cache

Power Law Graph Transformer for Machine Translation and Representation Learning

https://github.com/burcgokden/llm-from-power-law-decoder-representations

Power Law Graph Transformer for Machine Translation and Representation Learning

https://github.com/buriedms/Old2Life-Paddle

Old Photo Restoration via Deep Latent Space Translation

https://github.com/busyboxs/Some-resources-useful-for-me

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

https://github.com/butsugiri/shape

Convolutional Sequence to Sequence Learning

https://github.com/bxck75/piss-ant-pix2pix

Image-to-Image Translation with Conditional Adversarial Networks

https://github.com/bywords/lang-style-transfer-legacy

Style Transfer from Non-Parallel Text by Cross-Alignment

https://github.com/bzhangGo/lrn

Quasi-Recurrent Neural Networks

https://github.com/c00k1ez/plain-transformers

Reducing Transformer Depth on Demand with Structured Dropout

https://github.com/cadia-lvl/fastspeech2

Attention Is All You Need

https://github.com/caesium94/seq2seq_fix

Massive Exploration of Neural Machine Translation Architectures

https://github.com/cahya-wirawan/indonesian-language-models

Attention Is All You Need

https://github.com/cairouchong/discourse-phenomena

Pronoun Translation in English-French Machine Translation: An Analysis of Error Types

https://github.com/calclavia/NOS

Neural Optimizer Search with Reinforcement Learning

https://github.com/cambridge-mlg/tetnp

Translation Equivariant Transformer Neural Processes

https://github.com/cambridgeltl/composable-sft

NusaX: Multilingual Parallel Sentiment Dataset for 10 Indonesian Local Languages

https://github.com/camlaedtke/NLP

Attention Is All You Need

https://github.com/caoquanjie/ConditionalLearnToPayAttention

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

https://github.com/caoyujiALgLM/NLP

Attention Is All You Need

https://github.com/caoyujiALgLM/NLP-progress

Attention Is All You Need

https://github.com/carlosh93/sfr_hb-irit-uis

Image-to-Image Translation with Conditional Adversarial Networks

https://github.com/carnotaur/CycleGAN

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

https://github.com/carpedm20/ENAS-pytorch

Neural Optimizer Search with Reinforcement Learning

https://github.com/carrliitos/NLPInformationExtraction

Natural Language Processing for Information Extraction

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